| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-19 | A Method to Simultaneously Facilitate All Jet Physics Tasks
| Vinicius Mikuni et.al. | http://arxiv.org/pdf/2502.14652 前往 | null 前往 |
| 2025-02-20 | dtaianomaly: A Python library for time series anomaly detection
| Louis Carpentier et.al. | http://arxiv.org/pdf/2502.14381 前往 | null 前往 |
| 2025-02-20 | Graph Anomaly Detection via Adaptive Test-time Representation Learning across Out-of-Distribution Domains
| Delaram Pirhayati et.al. | http://arxiv.org/pdf/2502.14293 前往 | null 前往 |
| 2025-02-20 | Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
| Jeehong Kim et.al. | http://arxiv.org/pdf/2502.14197 前往 | null 前往 |
| 2025-02-19 | Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
| Rikab Gambhir et.al. | http://arxiv.org/pdf/2502.14036 前往 | null 前往 |
| 2025-02-19 | A Synergy Scoring Filter for Unsupervised Anomaly Detection with Noisy Data
| Fengjie Wang et.al. | http://arxiv.org/pdf/2502.13992 前往 | null 前往 |
| 2025-02-19 | Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion
| Shuai Niu et.al. | http://arxiv.org/pdf/2502.13509 前往 | null 前往 |
| 2025-02-19 | Flow-based generative models as iterative algorithms in probability space
| Yao Xie et.al. | http://arxiv.org/pdf/2502.13394 前往 | null 前往 |
| 2025-02-18 | VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
| Paul Boniol et.al. | http://arxiv.org/pdf/2502.13318 前往 | https://github.com/thedatumorg/vus 前往 |
| 2025-02-18 | Value Gradient Sampler: Sampling as Sequential Decision Making
| Sangwoong Yoon et.al. | http://arxiv.org/pdf/2502.13280 前往 | https://github.com/swyoon/value-gradient-sampler 前往 |
| 2025-02-06 | Finding Pegasus: Enhancing Unsupervised Anomaly Detection in High-Dimensional Data using a Manifold-Based Approach
| R. P. Nathan et.al. | http://arxiv.org/pdf/2502.04310 前往 | null 前往 |
| 2025-02-06 | NLP-Based .NET CLR Event Logs Analyzer
| Maxim Stavtsev et.al. | http://arxiv.org/pdf/2502.04219 前往 | null 前往 |
| 2025-02-06 | Hierarchical Entropic Diffusion for Ransomware Detection: A Probabilistic Approach to Behavioral Anomaly Isolation
| Vasili Iskorohodov et.al. | http://arxiv.org/pdf/2502.03882 前往 | null 前往 |
| 2025-02-06 | Position: Untrained Machine Learning for Anomaly Detection
| Juan Du et.al. | http://arxiv.org/pdf/2502.03876 前往 | null 前往 |
| 2025-02-05 | General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data
| Cheng He et.al. | http://arxiv.org/pdf/2502.03264 前往 | null 前往 |
| 2025-02-05 | Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning
| Saba Sanami et.al. | http://arxiv.org/pdf/2502.03245 前往 | null 前往 |
| 2025-02-05 | SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
| Xiangyu Dong et.al. | http://arxiv.org/pdf/2502.03201 前往 | null 前往 |
| 2025-02-05 | Time Series Anomaly Detection in the Frequency Domain with Statistical Reliability
| Akifumi Yamada et.al. | http://arxiv.org/pdf/2502.03062 前往 | null 前往 |
| 2025-02-05 | TopoCL: Topological Contrastive Learning for Time Series
| Namwoo Kim et.al. | http://arxiv.org/pdf/2502.02924 前往 | null 前往 |
| 2025-02-04 | SHIELD: APT Detection and Intelligent Explanation Using LLM
| Parth Atulbhai Gandhi et.al. | http://arxiv.org/pdf/2502.02342 前往 | null 前往 |
| 2025-01-31 | Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
| Zhiyao Xu et.al. | http://arxiv.org/pdf/2501.19298 前往 | null 前往 |
| 2025-01-31 | DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
| Arsenii Gavrikov et.al. | http://arxiv.org/pdf/2501.19237 前往 | null 前往 |
| 2025-01-31 | An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus
| Mohammad Fatahi et.al. | http://arxiv.org/pdf/2501.18821 前往 | null 前往 |
| 2025-01-30 | CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
| Zag ElSayed et.al. | http://arxiv.org/pdf/2501.18549 前往 | null 前往 |
| 2025-01-30 | Causal Inference Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
| Emanuele Luzio et.al. | http://arxiv.org/pdf/2501.18417 前往 | null 前往 |
| 2025-01-30 | GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
| Qingxiang Liu et.al. | http://arxiv.org/pdf/2501.18196 前往 | https://github.com/yuppielqx/gdformer 前往 |
| 2025-01-30 | Battery State of Health Estimation Using LLM Framework
| Aybars Yunusoglu et.al. | http://arxiv.org/pdf/2501.18123 前往 | null 前往 |
| 2025-01-29 | KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units
| Issam Ait Yahia et.al. | http://arxiv.org/pdf/2501.17976 前往 | null 前往 |
| 2025-01-29 | Detecting Anomalies Using Rotated Isolation Forest
| Vahideh Monemizadeh et.al. | http://arxiv.org/pdf/2501.17787 前往 | null 前往 |
| 2025-01-29 | Neural Networks for the Analysis of Traced Particles in Kinetic Plasma Simulations
| Gabriel Torralba Paz et.al. | http://arxiv.org/pdf/2501.17537 前往 | null 前往 |
| 2023-07-12 | Visualization for Multivariate Gaussian Anomaly Detection in Images
| Joao P C Bertoldo et.al. | http://arxiv.org/pdf/2307.06052 前往 | null 前往 |
| 2024-04-09 | Explainable Anomaly Detection in Images and Videos: A Survey
| Yizhou Wang et.al. | http://arxiv.org/pdf/2302.06670 前往 | https://github.com/wyzjack/awesome-xad 前往 |
| 2021-07-20 | A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images
| Vincent Wilmet et.al. | http://arxiv.org/pdf/2107.09204 前往 | https://github.com/vincentwi/Anomaly-Detection 前往 |
| 2021-08-09 | Multi-Perspective Anomaly Detection
| Peter Jakob et.al. | http://arxiv.org/pdf/2105.09903 前往 | null 前往 |
| 2021-04-29 | A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
| Shelly Sheynin et.al. | http://arxiv.org/pdf/2104.14535 前往 | null 前往 |
| 2020-11-26 | Combining GANs and AutoEncoders for Efficient Anomaly Detection
| Fabio Carrara et.al. | http://arxiv.org/pdf/2011.08102 前往 | https://github.com/fabiocarrara/cbigan-ad 前往 |
| 2020-09-25 | TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
| Md Abul Bashar et.al. | http://arxiv.org/pdf/2008.09567 前往 | https://github.com/mdabashar/TAnoGAN 前往 |
| 2020-06-17 | Self-Supervised Representation Learning for Visual Anomaly Detection
| Rabia Ali et.al. | http://arxiv.org/pdf/2006.09654 前往 | null 前往 |
| 2019-05-27 | PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure
| Masanari Kimura et.al. | http://arxiv.org/pdf/1905.10939 前往 | null 前往 |
| 2019-04-25 | Reducing Anomaly Detection in Images to Detection in Noise
| Axel Davy et.al. | http://arxiv.org/pdf/1904.11276 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-20 | Meromorphic higher-genus integration kernels via convolution over homology cycles
| Eric D'Hoker et.al. | http://arxiv.org/pdf/2502.14769 前往 | null 前往 |
| 2025-02-20 | YOLOv12: A Breakdown of the Key Architectural Features
| Mujadded Al Rabbani Alif et.al. | http://arxiv.org/pdf/2502.14740 前往 | null 前往 |
| 2025-02-20 | Reconfigurable Intelligent Surface for OFDM Radar Interference Mitigation
| Ali Parchekani et.al. | http://arxiv.org/pdf/2502.14730 前往 | null 前往 |
| 2025-02-20 | BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
| Ruochen Li et.al. | http://arxiv.org/pdf/2502.14676 前往 | null 前往 |
| 2025-02-20 | An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs
| Luca Crupi et.al. | http://arxiv.org/pdf/2502.14455 前往 | null 前往 |
| 2025-02-20 | Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans
| Haishan Huang et.al. | http://arxiv.org/pdf/2502.14363 前往 | null 前往 |
| 2025-02-20 | Weed Detection using Convolutional Neural Network
| Santosh Kumar Tripathi et.al. | http://arxiv.org/pdf/2502.14360 前往 | null 前往 |
| 2025-02-20 | Are your apps accessible? A GCN-based accessibility checker for low vision users
| Mengxi Zhang et.al. | http://arxiv.org/pdf/2502.14288 前往 | null 前往 |
| 2025-02-20 | Adaptive Convolution for CNN-based Speech Enhancement Models
| Dahan Wang et.al. | http://arxiv.org/pdf/2502.14224 前往 | null 前往 |
| 2025-02-20 | Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
| Jeehong Kim et.al. | http://arxiv.org/pdf/2502.14197 前往 | null 前往 |
| 2025-02-06 | Search for stable and low-energy Ce-Co-Cu ternary compounds using machine learning
| Weiyi Xia et.al. | http://arxiv.org/pdf/2502.04130 前往 | null 前往 |
| 2025-02-06 | Deep Learning-Optimized, Fabrication Error-Tolerant Photonic Crystal Nanobeam Cavities for Scalable On-Chip Diamond Quantum Systems
| Sander van Haagen et.al. | http://arxiv.org/pdf/2502.03987 前往 | null 前往 |
| 2025-02-06 | Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia
| Himanshi Singh et.al. | http://arxiv.org/pdf/2502.03943 前往 | null 前往 |
| 2025-02-06 | FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation
| Guohao Huo et.al. | http://arxiv.org/pdf/2502.03829 前往 | null 前往 |
| 2025-02-06 | Self-Supervised Learning for Solar Radio Spectrum Classification
| Siqi Li et.al. | http://arxiv.org/pdf/2502.03778 前往 | null 前往 |
| 2025-02-06 | A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma
| Chaoyin She et.al. | http://arxiv.org/pdf/2502.03772 前往 | https://github.com/Asunatan/HSQformer 前往 |
| 2025-02-06 | Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis
| Weizhi Li et.al. | http://arxiv.org/pdf/2502.03755 前往 | null 前往 |
| 2025-02-05 | Multi-Output Convolutional Neural Network for Improved Parameter Extraction in Time-Resolved Electrostatic Force Microscopy Data
| Madeleine D. Breshears et.al. | http://arxiv.org/pdf/2502.03572 前往 | null 前往 |
| 2025-02-05 | Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks
| Peter Xiangyuan Ma et.al. | http://arxiv.org/pdf/2502.03522 前往 | null 前往 |
| 2025-02-05 | Optimal Task Order for Continual Learning of Multiple Tasks
| Ziyan Li et.al. | http://arxiv.org/pdf/2502.03350 前往 | null 前往 |
| 2025-01-16 | SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
| Yuexi Du et.al. | http://arxiv.org/pdf/2501.09753 前往 | https://github.com/xypb/sre-conv 前往 |
| 2024-07-19 | AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection
| Majedaldein Almahasneh et.al. | http://arxiv.org/pdf/2407.14464 前往 | null 前往 |
| 2024-09-20 | Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution
| Hyeonuk Nam et.al. | http://arxiv.org/pdf/2406.13312 前往 | https://github.com/frednam93/MDFD-SED 前往 |
| 2024-06-06 | Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
| Zhicheng Cai et.al. | http://arxiv.org/pdf/2406.04249 前往 | null 前往 |
| 2024-05-27 | TiC: Exploring Vision Transformer in Convolution
| Song Zhang et.al. | http://arxiv.org/pdf/2310.04134 前往 | https://github.com/zs670980918/msa-conv 前往 |
| 2024-09-06 | RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
| Zihong Sun et.al. | http://arxiv.org/pdf/2309.15638 前往 | null 前往 |
| 2023-02-24 | Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks
| Julian Lißner et.al. | http://arxiv.org/pdf/2302.12545 前往 | null 前往 |
| 2022-08-07 | No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
| Raja Sunkara et.al. | http://arxiv.org/pdf/2208.03641 前往 | https://github.com/labsaint/spd-conv 前往 |
| 2021-11-14 | Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
| Jiehong Lin et.al. | http://arxiv.org/pdf/2111.07383 前往 | https://github.com/gorilla-lab-scut/ss-conv 前往 |
| 2021-08-26 | Co-Scale Conv-Attentional Image Transformers
| Weijian Xu et.al. | http://arxiv.org/pdf/2104.06399 前往 | https://github.com/mlpc-ucsd/CoaT 前往 |
| 2020-06-22 | DO-Conv: Depthwise Over-parameterized Convolutional Layer
| Jinming Cao et.al. | http://arxiv.org/pdf/2006.12030 前往 | https://github.com/yangyanli/DO-Conv 前往 |
| 2022-01-19 | Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
| Yujiang Wang et.al. | http://arxiv.org/pdf/2006.03708 前往 | https://github.com/mapleandfire/li-convs 前往 |
| 2021-06-07 | Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
| Fuyang Zhang et.al. | http://arxiv.org/pdf/1912.01756 前往 | https://github.com/zhangfuyang/Conv-MPN 前往 |
| 2019-10-03 | ILP-M Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs
| Zhuoran Ji et.al. | http://arxiv.org/pdf/1909.02765 前往 | https://github.com/jizhuoran/sj_convolution 前往 |
| 2018-11-15 | End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
| Chao Shang et.al. | http://arxiv.org/pdf/1811.04441 前往 | https://github.com/JD-AI-Research-Silicon-Valley/SACN 前往 |
| 2018-05-18 | Unsupervised Learning of Neural Networks to Explain Neural Networks
| Quanshi Zhang et.al. | http://arxiv.org/pdf/1805.07468 前往 | null 前往 |
| 2018-03-03 | Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders
| Guodong Du et.al. | http://arxiv.org/pdf/1803.01159 前往 | null 前往 |
| 2018-02-14 | Interpretable Convolutional Neural Networks
| Quanshi Zhang et.al. | http://arxiv.org/pdf/1710.00935 前往 | https://github.com/zqs1022/interpretableCNN 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-19 | A Synergy Scoring Filter for Unsupervised Anomaly Detection with Noisy Data
| Fengjie Wang et.al. | http://arxiv.org/pdf/2502.13992 前往 | null 前往 |
| 2025-02-18 | Value Gradient Sampler: Sampling as Sequential Decision Making
| Sangwoong Yoon et.al. | http://arxiv.org/pdf/2502.13280 前往 | https://github.com/swyoon/value-gradient-sampler 前往 |
| 2025-02-17 | Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
| Xuan Tong et.al. | http://arxiv.org/pdf/2502.11712 前往 | null 前往 |
| 2025-02-09 | 3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly
| Enquan Yang et.al. | http://arxiv.org/pdf/2502.05761 前往 | https://github.com/enquanyang2022/3cad 前往 |
| 2025-01-27 | Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
| Zhiling Chen et.al. | http://arxiv.org/pdf/2501.15795 前往 | null 前往 |
| 2025-01-26 | Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
| Hossein Mirzaei et.al. | http://arxiv.org/pdf/2501.15434 前往 | null 前往 |
| 2025-01-20 | Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review
| Abdelrahman Alzarooni et.al. | http://arxiv.org/pdf/2501.11310 前往 | null 前往 |
| 2025-01-13 | SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
| Chengjie Wang et.al. | http://arxiv.org/pdf/2412.20870 前往 | https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch 前往 |
| 2024-12-23 | Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
| Qiyu Chen et.al. | http://arxiv.org/pdf/2412.17458 前往 | https://github.com/cqylunlun/pbas 前往 |
| 2024-12-19 | Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties
| Wenqiao Li et.al. | http://arxiv.org/pdf/2412.14592 前往 | https://github.com/zzzbbbzzz/mulsen-ad 前往 |
| 2024-12-16 | AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
| Wei Luo et.al. | http://arxiv.org/pdf/2412.11802 前往 | https://github.com/luow23/ami-net 前往 |
| 2024-12-12 | Multimodal Industrial Anomaly Detection by Crossmodal Reverse Distillation
| Xinyue Liu et.al. | http://arxiv.org/pdf/2412.08949 前往 | https://github.com/hito2448/CRD 前往 |
| 2024-12-11 | Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection
| Xin Chen et.al. | http://arxiv.org/pdf/2412.08189 前往 | null 前往 |
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-10-29 | A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection
| Yuxuan Lin et.al. | http://arxiv.org/pdf/2410.21982 前往 | https://github.com/sunny5250/awesome-multi-setting-uiad 前往 |
| 2024-10-02 | RADAR: Robust Two-stage Modality-incomplete Industrial Anomaly Detection
| Bingchen Miao et.al. | http://arxiv.org/pdf/2410.01737 前往 | null 前往 |
| 2024-08-28 | AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
| Mykhailo Koshil et.al. | http://arxiv.org/pdf/2408.15113 前往 | null 前往 |
| 2024-08-09 | Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
| Yuanpu Cao et.al. | http://arxiv.org/pdf/2408.04839 前往 | null 前往 |
| 2024-03-19 | Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
| Chengjie Wang et.al. | http://arxiv.org/pdf/2403.12580 前往 | null 前往 |
| 2023-11-12 | Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data
| Chenyang Bi et.al. | http://arxiv.org/pdf/2311.06797 前往 | null 前往 |
| 2023-09-07 | Multimodal Industrial Anomaly Detection via Hybrid Fusion
| Yue Wang et.al. | http://arxiv.org/pdf/2303.00601 前往 | https://github.com/nomewang/m3dm 前往 |
| 2023-09-18 | FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
| Xuan Xia et.al. | http://arxiv.org/pdf/2301.12739 前往 | https://github.com/AIRS-CSR/FractalAD 前往 |
| 2023-06-13 | A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
| Yajie Cui et.al. | http://arxiv.org/pdf/2204.11161 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-01-12 | MFConvTr: Multi-Frequency Convolutional Transformer for Fetal Arrhythmia Detection in Non-Invasive fECG
| Deva Satay Sriram Chintapenta et.al. | http://arxiv.org/pdf/2501.16649 前往 | null 前往 |
| 2025-01-22 | Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi
| Ella Koresh et.al. | http://arxiv.org/pdf/2501.12900 前往 | null 前往 |
| 2025-01-10 | Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2
| Olivier Morelle et.al. | http://arxiv.org/pdf/2501.05933 前往 | null 前往 |
| 2025-01-03 | Quantitative Gait Analysis from Single RGB Videos Using a Dual-Input Transformer-Based Network
| Hiep Dinh et.al. | http://arxiv.org/pdf/2501.01689 前往 | https://github.com/lmtszrl/quantitative-gait-analysis-from-rgb-videos-using-a-dual-input-transformer-based-network 前往 |
| 2024-12-18 | CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
| Eloy Geenjaar et.al. | http://arxiv.org/pdf/2412.11695 前往 | null 前往 |
| 2024-12-12 | Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction
| Bilal Kabas et.al. | http://arxiv.org/pdf/2412.09331 前往 | https://github.com/icon-lab/MambaRoll 前往 |
| 2024-12-02 | Convolutional Transformer Neural Collaborative Filtering
| Pang Li et.al. | http://arxiv.org/pdf/2412.01376 前往 | null 前往 |
| 2024-11-26 | TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
| Xiaowen Ma et.al. | http://arxiv.org/pdf/2411.17473 前往 | https://github.com/xwmaxwma/tinyvim 前往 |
| 2024-10-31 | Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia
| Ibne Hassan et.al. | http://arxiv.org/pdf/2411.00169 前往 | null 前往 |
| 2024-10-30 | Adaptive Multi Scale Document Binarisation Using Vision Mamba
| Mohd. Azfar et.al. | http://arxiv.org/pdf/2410.22811 前往 | null 前往 |
| 2024-09-09 | ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
| Safwen Naimi et.al. | http://arxiv.org/pdf/2409.05749 前往 | https://github.com/safwennaimi/representation-learning-for-skeleton-action-recognition-with-convolutional-transformers-and-byol 前往 |
| 2023-12-29 | ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
| Dongbin Hou et.al. | http://arxiv.org/pdf/2312.17446 前往 | null 前往 |
| 2023-11-29 | LGFCTR: Local and Global Feature Convolutional Transformer for Image Matching
| Wenhao Zhong et.al. | http://arxiv.org/pdf/2311.17571 前往 | https://github.com/zwh0527/lgfctr 前往 |
| 2024-01-02 | Tomato Maturity Recognition with Convolutional Transformers
| Asim Khan et.al. | http://arxiv.org/pdf/2307.01530 前往 | null 前往 |
| 2023-11-30 | Physics-Informed Convolutional Transformer for Predicting Volatility Surface
| Soohan Kim et.al. | http://arxiv.org/pdf/2209.10771 前往 | https://github.com/Soohan-Kim/PI-ConvTF 前往 |
| 2023-01-29 | The Fully Convolutional Transformer for Medical Image Segmentation
| Athanasios Tragakis et.al. | http://arxiv.org/pdf/2206.00566 前往 | https://github.com/thanos-db/fullyconvolutionaltransformer 前往 |
| 2021-07-29 | Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
| Xinyang Feng et.al. | http://arxiv.org/pdf/2107.13720 前往 | null 前往 |
| 2020-11-09 | DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework
| Pooja Gupta et.al. | http://arxiv.org/pdf/2011.04337 前往 | null 前往 |
| 2020-11-09 | ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
| Pooja Gupta et.al. | http://arxiv.org/pdf/2011.04317 前往 | https://github.com/pooja290992/ConFuse 前往 |
| 2020-10-02 | Deep Convolutional Transform Learning -- Extended version
| Jyoti Maggu et.al. | http://arxiv.org/pdf/2010.01011 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-17 | Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
| Xuan Tong et.al. | http://arxiv.org/pdf/2502.11712 前往 | null 前往 |
| 2025-01-15 | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
| Qisen Cheng et.al. | http://arxiv.org/pdf/2501.09187 前往 | null 前往 |
| 2025-01-13 | SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
| Chengjie Wang et.al. | http://arxiv.org/pdf/2412.20870 前往 | https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch 前往 |
| 2024-12-23 | Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
| Fenfang Tao et.al. | http://arxiv.org/pdf/2412.17619 前往 | https://github.com/cvl-hub/kag-prompt 前往 |
| 2024-11-22 | Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing
| Miriam Alber et.al. | http://arxiv.org/pdf/2411.14953 前往 | https://github.com/visiontransformerad/vit-ad 前往 |
| 2024-08-18 | AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization
| Ying Zhao et.al. | http://arxiv.org/pdf/2408.09533 前往 | null 前往 |
| 2024-07-09 | PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
| Chengjie Wang et.al. | http://arxiv.org/pdf/2407.06698 前往 | null 前往 |
| 2024-05-11 | LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
| Ying Zhao et.al. | http://arxiv.org/pdf/2405.06875 前往 | null 前往 |
| 2024-05-03 | Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
| Canhui Tang et.al. | http://arxiv.org/pdf/2405.02068 前往 | https://github.com/hui-design/aand 前往 |
| 2024-03-21 | SoftPatch: Unsupervised Anomaly Detection with Noisy Data
| Xi Jiang et.al. | http://arxiv.org/pdf/2403.14233 前往 | https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch 前往 |
| 2024-02-27 | Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
| Hanqiu Deng et.al. | http://arxiv.org/pdf/2402.17091 前往 | null 前往 |
| 2023-12-15 | TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
| Ho-Weng Lee et.al. | http://arxiv.org/pdf/2312.09480 前往 | null 前往 |
| 2023-11-12 | CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection
| Shunfeng Wang et.al. | http://arxiv.org/pdf/2311.06794 前往 | null 前往 |
| 2023-03-05 | PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
| Jiarui Lei et.al. | http://arxiv.org/pdf/2303.02595 前往 | https://github.com/gasharper/PyramidFlow 前往 |
| 2023-02-17 | Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
| Yunkang Cao et.al. | http://arxiv.org/pdf/2302.08769 前往 | https://github.com/caoyunkang/CDO 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2022-03-21 | AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
| Yunseung Lee et.al. | http://arxiv.org/pdf/2203.10808 前往 | null 前往 |
| 2020-11-22 | Multiresolution Knowledge Distillation for Anomaly Detection
| Mohammadreza Salehi et.al. | http://arxiv.org/pdf/2011.11108 前往 | https://github.com/Niousha12/Knowledge_Distillation_AD 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2023-12-28 | Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
| Hankyul Baek et.al. | http://arxiv.org/pdf/2401.01370 前往 | null 前往 |
| 2024-04-09 | Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
| Kun Wang et.al. | http://arxiv.org/pdf/2302.10473 前往 | null 前往 |
| 2022-08-23 | A Survey of Self-Supervised and Few-Shot Object Detection
| Gabriel Huang et.al. | http://arxiv.org/pdf/2110.14711 前往 | https://github.com/gabrielhuang/awesome-few-shot-object-detection 前往 |
| 2021-07-16 | A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
| Muhammed Muzammul et.al. | http://arxiv.org/pdf/2107.07927 前往 | null 前往 |
| 2020-08-16 | False Detection (Positives and Negatives) in Object Detection
| Subrata Goswami et.al. | http://arxiv.org/pdf/2008.06986 前往 | null 前往 |
| 2020-07-27 | Research Progress of Convolutional Neural Network and its Application in Object Detection
| Wei Zhang et.al. | http://arxiv.org/pdf/2007.13284 前往 | null 前往 |
| 2019-08-10 | Recent Advances in Deep Learning for Object Detection
| Xiongwei Wu et.al. | http://arxiv.org/pdf/1908.03673 前往 | https://github.com/XiongweiWu/Awesome-Object-Detection 前往 |
| 2019-05-12 | Object Detection in Specific Traffic Scenes using YOLOv2
| Shouyu Wang et.al. | http://arxiv.org/pdf/1905.04740 前往 | null 前往 |
| 2018-07-24 | Object Detection in Video with Spatiotemporal Sampling Networks
| Gedas Bertasius et.al. | http://arxiv.org/pdf/1803.05549 前往 | null 前往 |
| 2014-06-27 | Template Matching based Object Detection Using HOG Feature Pyramid
| Anish Acharya et.al. | http://arxiv.org/pdf/1406.7120 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-07-06 | Visual Grounding with Attention-Driven Constraint Balancing
| Weitai Kang et.al. | http://arxiv.org/pdf/2407.03243 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-10-10 | AnoDODE: Anomaly Detection with Diffusion ODE
| Xianyao Hu et.al. | http://arxiv.org/pdf/2310.06420 前往 | null 前往 |
| 2023-08-29 | MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
| Yixuan Zhou et.al. | http://arxiv.org/pdf/2308.15300 前往 | https://github.com/cool-xuan/msflow 前往 |
| 2022-09-29 | GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions
| Sanket Kalwar et.al. | http://arxiv.org/pdf/2209.14922 前往 | https://github.com/gatedip/gdip-yolo 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-25 | SIoU Loss: More Powerful Learning for Bounding Box Regression
| Zhora Gevorgyan et.al. | http://arxiv.org/pdf/2205.12740 前往 | null 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2022-05-11 | Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies
| Chris Wise et.al. | http://arxiv.org/pdf/2202.08892 前往 | https://github.com/chriswise07/imperceptible-patch-generator 前往 |
| 2022-02-26 | Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment
| Weishuang Zhang et.al. | http://arxiv.org/pdf/2202.02666 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-10-31 | Denoising Diffusion Models for Anomaly Localization in Medical Images
| Cosmin I. Bercea et.al. | http://arxiv.org/pdf/2410.23834 前往 | null 前往 |
| 2024-05-11 | LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
| Ying Zhao et.al. | http://arxiv.org/pdf/2405.06875 前往 | null 前往 |
| 2024-02-22 | Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training
| Cheng Qian et.al. | http://arxiv.org/pdf/2402.14246 前往 | null 前往 |
| 2024-02-28 | Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
| Katsuya Hotta et.al. | http://arxiv.org/pdf/2309.13904 前往 | null 前往 |
| 2024-02-27 | Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
| Hanqiu Deng et.al. | http://arxiv.org/pdf/2308.15939 前往 | https://github.com/hq-deng/AnoVL 前往 |
| 2022-12-13 | Multi-scale Feature Imitation for Unsupervised Anomaly Localization
| Chao Hu et.al. | http://arxiv.org/pdf/2212.05786 前往 | null 前往 |
| 2022-07-21 | Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
| Xian Tao et.al. | http://arxiv.org/pdf/2207.10298 前往 | null 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2021-05-08 | AnomalyHop: An SSL-based Image Anomaly Localization Method
| Kaitai Zhang et.al. | http://arxiv.org/pdf/2105.03797 前往 | https://github.com/BinWang28/AnomalyHop 前往 |
| 2020-02-10 | Iterative energy-based projection on a normal data manifold for anomaly localization
| David Dehaene et.al. | http://arxiv.org/pdf/2002.03734 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-10-10 | AnoDODE: Anomaly Detection with Diffusion ODE
| Xianyao Hu et.al. | http://arxiv.org/pdf/2310.06420 前往 | null 前往 |
| 2023-08-29 | MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
| Yixuan Zhou et.al. | http://arxiv.org/pdf/2308.15300 前往 | https://github.com/cool-xuan/msflow 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2024-05-10 | Anomaly Detection in Graph Structured Data: A Survey
| Prabin B Lamichhane et.al. | http://arxiv.org/pdf/2405.06172 前往 | null 前往 |
| 2024-02-14 | Research and application of Transformer based anomaly detection model: A literature review
| Mingrui Ma et.al. | http://arxiv.org/pdf/2402.08975 前往 | null 前往 |
| 2023-10-10 | AnoDODE: Anomaly Detection with Diffusion ODE
| Xianyao Hu et.al. | http://arxiv.org/pdf/2310.06420 前往 | null 前往 |
| 2023-08-29 | MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
| Yixuan Zhou et.al. | http://arxiv.org/pdf/2308.15300 前往 | https://github.com/cool-xuan/msflow 前往 |
| 2023-10-02 | On Diffusion Modeling for Anomaly Detection
| Victor Livernoche et.al. | http://arxiv.org/pdf/2305.18593 前往 | https://github.com/vicliv/dte 前往 |
| 2023-04-09 | AGAD: Adversarial Generative Anomaly Detection
| Jian Shi et.al. | http://arxiv.org/pdf/2304.04211 前往 | null 前往 |
| 2024-04-09 | Explainable Anomaly Detection in Images and Videos: A Survey
| Yizhou Wang et.al. | http://arxiv.org/pdf/2302.06670 前往 | https://github.com/wyzjack/awesome-xad 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-09-26 | Real-time Anomaly Detection for Multivariate Data Streams
| Kenneth Odoh et.al. | http://arxiv.org/pdf/2209.12398 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2022-04-07 | Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
| Furkan Mumcu et.al. | http://arxiv.org/pdf/2204.03141 前往 | null 前往 |
| 2022-02-15 | Trustworthy Anomaly Detection: A Survey
| Shuhan Yuan et.al. | http://arxiv.org/pdf/2202.07787 前往 | null 前往 |
| 2023-10-20 | Using a nested anomaly detection machine learning algorithm to study the neutral triple gauge couplings at an \texorpdfstring{$e^+e^-$}{e+e-} collider
| Ji-Chong Yang et.al. | http://arxiv.org/pdf/2111.10543 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| 2020-06-17 | Self-Supervised Representation Learning for Visual Anomaly Detection
| Rabia Ali et.al. | http://arxiv.org/pdf/2006.09654 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-12-02 | Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
| Joao P. C. Bertoldo et.al. | http://arxiv.org/pdf/2301.09602 前往 | null 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-08-23 | Unsupervised Anomaly Localization with Structural Feature-Autoencoders
| Felix Meissen et.al. | http://arxiv.org/pdf/2208.10992 前往 | https://github.com/felime/feature-autoencoder 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| 2020-07-17 | Attention Guided Anomaly Localization in Images
| Shashanka Venkataramanan et.al. | http://arxiv.org/pdf/1911.08616 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-11-14 | UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
| Yujin Lee et.al. | http://arxiv.org/pdf/2307.12540 前往 | https://github.com/yoojlee/uniformaly 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2024-08-15 | Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
| Jianfeng Huang et.al. | http://arxiv.org/pdf/2207.09792 前往 | null 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-10-10 | AnoDODE: Anomaly Detection with Diffusion ODE
| Xianyao Hu et.al. | http://arxiv.org/pdf/2310.06420 前往 | null 前往 |
| 2023-08-29 | MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
| Yixuan Zhou et.al. | http://arxiv.org/pdf/2308.15300 前往 | https://github.com/cool-xuan/msflow 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-01 | Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection
| Kun Qian et.al. | http://arxiv.org/pdf/2412.00890 前往 | null 前往 |
| 2024-11-21 | F2PAD: A General Optimization Framework for Feature-Level to Pixel-Level Anomaly Detection
| Chengyu Tao et.al. | http://arxiv.org/pdf/2407.06519 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-11-02 | Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2311.01117 前往 | https://github.com/vitjanz/3dsr 前往 |
| 2022-09-26 | Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
| Peng Xing et.al. | http://arxiv.org/pdf/2209.12441 前往 | null 前往 |
| 2022-11-23 | DSR -- A dual subspace re-projection network for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2208.01521 前往 | https://github.com/vitjanz/dsr_anomaly_detection 前往 |
| 2022-06-09 | CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
| Sungwook Lee et.al. | http://arxiv.org/pdf/2206.04325 前往 | https://github.com/sungwool/cfa_for_anomaly_localization 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-04-23 | Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
| Muhao Xu et.al. | http://arxiv.org/pdf/2204.11014 前往 | null 前往 |
| 2021-09-27 | DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
| Vitjan Zavrtanik et.al. | http://arxiv.org/pdf/2108.07610 前往 | https://github.com/vitjanz/draem 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-09-05 | Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
| Khouloud Abdelli et.al. | http://arxiv.org/pdf/2409.03657 前往 | null 前往 |
| 2024-10-15 | Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
| Xinyue Liu et.al. | http://arxiv.org/pdf/2408.03888 前往 | null 前往 |
| 2024-11-21 | F2PAD: A General Optimization Framework for Feature-Level to Pixel-Level Anomaly Detection
| Chengyu Tao et.al. | http://arxiv.org/pdf/2407.06519 前往 | null 前往 |
| 2024-05-15 | A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
| Honghui Chen et.al. | http://arxiv.org/pdf/2405.09148 前往 | null 前往 |
| 2023-10-10 | AnoDODE: Anomaly Detection with Diffusion ODE
| Xianyao Hu et.al. | http://arxiv.org/pdf/2310.06420 前往 | null 前往 |
| 2023-08-29 | MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
| Yixuan Zhou et.al. | http://arxiv.org/pdf/2308.15300 前往 | https://github.com/cool-xuan/msflow 前往 |
| 2022-11-28 | MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
| Tianpeng Bao et.al. | http://arxiv.org/pdf/2211.13968 前往 | null 前往 |
| 2022-05-13 | Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
| Chaoqin Huang et.al. | http://arxiv.org/pdf/2205.06568 前往 | null 前往 |
| 2022-03-21 | AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
| Yunseung Lee et.al. | http://arxiv.org/pdf/2203.10808 前往 | null 前往 |
| 2021-06-11 | Unsupervised Anomaly Detection Ensembles using Item Response Theory
| Sevvandi Kandanaarachchi et.al. | http://arxiv.org/pdf/2106.06243 前往 | https://github.com/sevvandi/supplementary_material/tree/master/anomalyensembles 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-12 | STEAM: Squeeze and Transform Enhanced Attention Module
| Rishabh Sabharwal et.al. | http://arxiv.org/pdf/2412.09023 前往 | null 前往 |
| 2024-11-06 | StegaVision: Enhancing Steganography with Attention Mechanism
| Abhinav Kumar et.al. | http://arxiv.org/pdf/2411.05838 前往 | null 前往 |
| 2023-04-22 | SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images
| Lin Qi et.al. | http://arxiv.org/pdf/2304.11320 前往 | null 前往 |
| 2021-09-04 | Sparse Spatial Attention Network for Semantic Segmentation
| Mengyu Liu et.al. | http://arxiv.org/pdf/2109.01915 前往 | null 前往 |
| 2021-07-05 | Low-latency auditory spatial attention detection based on spectro-spatial features from EEG
| Siqi Cai et.al. | http://arxiv.org/pdf/2103.03621 前往 | null 前往 |
| 2021-04-22 | On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition
| Negar Heidari et.al. | http://arxiv.org/pdf/2011.03833 前往 | null 前往 |
| 2020-09-29 | Spatial Attention as an Interface for Image Captioning Models
| Philipp Sadler et.al. | http://arxiv.org/pdf/2010.11701 前往 | null 前往 |
| 2020-09-18 | Residual Spatial Attention Network for Retinal Vessel Segmentation
| Changlu Guo et.al. | http://arxiv.org/pdf/2009.08829 前往 | https://github.com/clguo/RSAN 前往 |
| 2020-03-09 | Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks
| Weipeng He et.al. | http://arxiv.org/pdf/1911.02115 前往 | null 前往 |
| 2019-10-15 | Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
| Shizhe Chen et.al. | http://arxiv.org/pdf/1910.06737 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-03-07 | Optimizing CNN Using HPC Tools
| Shahrin Rahman et.al. | http://arxiv.org/pdf/2403.04870 前往 | null 前往 |
| 2023-02-09 | Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
| Soumick Chatterjee et.al. | http://arxiv.org/pdf/2302.04584 前往 | https://github.com/soumickmj/pytorch-complex 前往 |
| 2021-12-13 | Extension of Convolutional Neural Network along Temporal and Vertical Directions for Precipitation Downscaling
| Takeyoshi Nagasato et.al. | http://arxiv.org/pdf/2112.06571 前往 | null 前往 |
| 2021-01-26 | The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs
| Xinwei Zhao et.al. | http://arxiv.org/pdf/2101.11081 前往 | null 前往 |
| 2019-05-23 | Interpreting Adversarially Trained Convolutional Neural Networks
| Tianyuan Zhang et.al. | http://arxiv.org/pdf/1905.09797 前往 | https://github.com/PKUAI26/AT-CNN 前往 |
| 2019-03-10 | Automatically Evolving CNN Architectures Based on Blocks
| Yanan Sun et.al. | http://arxiv.org/pdf/1810.11875 前往 | null 前往 |
| 2018-05-20 | Wavelet Convolutional Neural Networks
| Shin Fujieda et.al. | http://arxiv.org/pdf/1805.08620 前往 | null 前往 |
| 2016-12-20 | Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
| Forrest Iandola et.al. | http://arxiv.org/pdf/1612.06519 前往 | null 前往 |
| 2016-04-29 | Volumetric and Multi-View CNNs for Object Classification on 3D Data
| Charles R. Qi et.al. | http://arxiv.org/pdf/1604.03265 前往 | null 前往 |
| 2015-11-30 | Aspect-based Opinion Summarization with Convolutional Neural Networks
| Haibing Wu et.al. | http://arxiv.org/pdf/1511.09128 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-12-04 | Multimodal Sentiment Analysis Based on BERT and ResNet
| JiaLe Ren et.al. | http://arxiv.org/pdf/2412.03625 前往 | null 前往 |
| 2024-07-02 | SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
| Serdar Erisen et.al. | http://arxiv.org/pdf/2401.15741 前往 | https://github.com/serdarch/sernet-former 前往 |
| 2023-06-16 | Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
| Andre Hryniowski et.al. | http://arxiv.org/pdf/2306.10128 前往 | null 前往 |
| 2022-06-03 | EAANet: Efficient Attention Augmented Convolutional Networks
| Runqing Zhang et.al. | http://arxiv.org/pdf/2206.01821 前往 | null 前往 |
| 2021-07-28 | Rethinking ResNets: Improved Stacking Strategies With High Order Schemes
| Zhengbo Luo et.al. | http://arxiv.org/pdf/2103.15244 前往 | null 前往 |
| 2020-12-14 | TDAF: Top-Down Attention Framework for Vision Tasks
| Bo Pang et.al. | http://arxiv.org/pdf/2012.07248 前往 | null 前往 |
| 2019-12-18 | CoulGAT: An Experiment on Interpretability of Graph Attention Networks
| Burc Gokden et.al. | http://arxiv.org/pdf/1912.08409 前往 | https://github.com/burcgokden/CoulGAT-Graph-Attention-Interpretability 前往 |
| 2019-11-19 | Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms
| Zhiqiang Xiong et.al. | http://arxiv.org/pdf/1911.08149 前往 | null 前往 |
| 2020-02-27 | On the space-time expressivity of ResNets
| Johannes Müller et.al. | http://arxiv.org/pdf/1910.09599 前往 | null 前往 |
| 2020-06-03 | Spiking Deep Residual Network
| Yangfan Hu et.al. | http://arxiv.org/pdf/1805.01352 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-07-15 | Agent Attention: On the Integration of Softmax and Linear Attention
| Dongchen Han et.al. | http://arxiv.org/pdf/2312.08874 前往 | https://github.com/leaplabthu/agent-attention 前往 |
| 2023-12-12 | SCCA: Shifted Cross Chunk Attention for long contextual semantic expansion
| Yuxiang Guo et.al. | http://arxiv.org/pdf/2312.07305 前往 | null 前往 |
| 2023-12-04 | Peer attention enhances student learning
| Songlin Xu et.al. | http://arxiv.org/pdf/2312.02358 前往 | https://github.com/songlinxu/peeredu 前往 |
| 2023-09-15 | Attention-Only Transformers and Implementing MLPs with Attention Heads
| Robert Huben et.al. | http://arxiv.org/pdf/2309.08593 前往 | null 前往 |
| 2022-11-05 | Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing
| Rui Yu et.al. | http://arxiv.org/pdf/2211.02899 前往 | https://github.com/yurui12138/tri-attention 前往 |
| 2022-09-30 | Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
| Chendong Zhao et.al. | http://arxiv.org/pdf/2209.15176 前往 | null 前往 |
| 2022-03-27 | A General Survey on Attention Mechanisms in Deep Learning
| Gianni Brauwers et.al. | http://arxiv.org/pdf/2203.14263 前往 | null 前往 |
| 2021-11-07 | Attention in Attention Network for Image Super-Resolution
| Haoyu Chen et.al. | http://arxiv.org/pdf/2104.09497 前往 | https://github.com/haoyuc/A2N 前往 |
| 2019-04-25 | HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
| Ya-Li Li et.al. | http://arxiv.org/pdf/1904.11141 前往 | null 前往 |
| 2017-09-19 | Exploring Human-like Attention Supervision in Visual Question Answering
| Tingting Qiao et.al. | http://arxiv.org/pdf/1709.06308 前往 | null 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-01 | Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing
| Saarthak Kapse et.al. | http://arxiv.org/pdf/2502.00594 前往 | null 前往 |
| 2025-02-20 | Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
| Rongzhao He et.al. | http://arxiv.org/pdf/2501.14679 前往 | null 前往 |
| 2024-11-27 | Vision Mamba Distillation for Low-resolution Fine-grained Image Classification
| Yao Chen et.al. | http://arxiv.org/pdf/2411.17980 前往 | https://github.com/boa2004plaust/vimd 前往 |
| 2024-10-14 | GlobalMamba: Global Image Serialization for Vision Mamba
| Chengkun Wang et.al. | http://arxiv.org/pdf/2410.10316 前往 | https://github.com/wangck20/globalmamba 前往 |
| 2024-10-02 | Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
| Amin Malekmohammadi et.al. | http://arxiv.org/pdf/2409.17122 前往 | https://github.com/swiman/mamba-medical-classification 前往 |
| 2024-08-30 | Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training
| Zizheng Huang et.al. | http://arxiv.org/pdf/2408.17081 前往 | https://github.com/huangzizheng01/shufflemamba 前往 |
| 2024-06-09 | Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans
| Muthukumar K A et.al. | http://arxiv.org/pdf/2406.05757 前往 | null 前往 |
| 2024-05-23 | Mamba-R: Vision Mamba ALSO Needs Registers
| Feng Wang et.al. | http://arxiv.org/pdf/2405.14858 前往 | null 前往 |
| 2024-05-11 | DVMSR: Distillated Vision Mamba for Efficient Super-Resolution
| Xiaoyan Lei et.al. | http://arxiv.org/pdf/2405.03008 前往 | https://github.com/nathan66666/dvmsr 前往 |
| 2024-04-24 | UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
| Renkai Wu et.al. | http://arxiv.org/pdf/2403.20035 前往 | https://github.com/wurenkai/UltraLight-VM-UNet 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2025-02-01 | Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing
| Saarthak Kapse et.al. | http://arxiv.org/pdf/2502.00594 前往 | null 前往 |
| 2025-02-20 | Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
| Rongzhao He et.al. | http://arxiv.org/pdf/2501.14679 前往 | null 前往 |
| 2024-11-27 | Vision Mamba Distillation for Low-resolution Fine-grained Image Classification
| Yao Chen et.al. | http://arxiv.org/pdf/2411.17980 前往 | https://github.com/boa2004plaust/vimd 前往 |
| 2024-10-14 | GlobalMamba: Global Image Serialization for Vision Mamba
| Chengkun Wang et.al. | http://arxiv.org/pdf/2410.10316 前往 | https://github.com/wangck20/globalmamba 前往 |
| 2024-10-02 | Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
| Amin Malekmohammadi et.al. | http://arxiv.org/pdf/2409.17122 前往 | https://github.com/swiman/mamba-medical-classification 前往 |
| 2024-08-30 | Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training
| Zizheng Huang et.al. | http://arxiv.org/pdf/2408.17081 前往 | https://github.com/huangzizheng01/shufflemamba 前往 |
| 2024-06-09 | Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans
| Muthukumar K A et.al. | http://arxiv.org/pdf/2406.05757 前往 | null 前往 |
| 2024-05-23 | Mamba-R: Vision Mamba ALSO Needs Registers
| Feng Wang et.al. | http://arxiv.org/pdf/2405.14858 前往 | null 前往 |
| 2024-05-11 | DVMSR: Distillated Vision Mamba for Efficient Super-Resolution
| Xiaoyan Lei et.al. | http://arxiv.org/pdf/2405.03008 前往 | https://github.com/nathan66666/dvmsr 前往 |
| 2024-04-24 | UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
| Renkai Wu et.al. | http://arxiv.org/pdf/2403.20035 前往 | https://github.com/wurenkai/UltraLight-VM-UNet 前往 |
| Publish Date | Title | Authors | PDF | Code |
|---|
| 2024-09-13 | PushPull-Net: Inhibition-driven ResNet robust to image corruptions
| Guru Swaroop Bennabhaktula et.al. | http://arxiv.org/pdf/2408.04077 前往 | https://github.com/bgswaroop/pushpull-conv 前往 |
| 2023-05-31 | PAD-Net: An Efficient Framework for Dynamic Networks
| Shwai He et.al. | http://arxiv.org/pdf/2211.05528 前往 | https://github.com/shwai-he/pad-net 前往 |
| 2022-08-07 | No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
| Raja Sunkara et.al. | http://arxiv.org/pdf/2208.03641 前往 | https://github.com/labsaint/spd-conv 前往 |
| 2021-09-29 | TreeNet: A lightweight One-Shot Aggregation Convolutional Network
| Lu Rao et.al. | http://arxiv.org/pdf/2109.12342 前往 | null 前往 |
| 2021-06-12 | Revisiting Classification Perspective on Scene Text Recognition
| Hongxiang Cai et.al. | http://arxiv.org/pdf/2102.10884 前往 | https://github.com/Media-Smart/vedastr 前往 |
| 2020-08-05 | Densely Connected Residual Network for Attack Recognition
| Peilun Wu et.al. | http://arxiv.org/pdf/2008.02196 前往 | null 前往 |
| 2022-01-19 | Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
| Yujiang Wang et.al. | http://arxiv.org/pdf/2006.03708 前往 | https://github.com/mapleandfire/li-convs 前往 |
| 2020-03-18 | STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
| Xu Li et.al. | http://arxiv.org/pdf/2003.08042 前往 | null 前往 |
| 2020-04-02 | Rethinking Classification and Localization for Object Detection
| Yue Wu et.al. | http://arxiv.org/pdf/1904.06493 前往 | https://github.com/wuyuebupt/doubleheadsrcnn 前往 |
| 2019-03-01 | Restructuring Batch Normalization to Accelerate CNN Training
| Wonkyung Jung et.al. | http://arxiv.org/pdf/1807.01702 前往 | https://github.com/wkjung/caffe-bn-restructuring-gpu 前往 |