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awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
https://github.com/M-3LAB/awesome-industrial-anomaly-detection

Last synced: 3 days ago
JSON representation

Programming Languages
Python 4 HTML 1
Categories
2.1 Feature-Embedding-based Methods 174 2.2 Reconstruction-Based Methods 108 More Abnormal Samples 82 Other settings 58 Medical (related) 57 3.3 Anomaly Synthetic 57 3.7 Logical AD 35 Table of Contents 35 Others 28 3.1 Few-Shot AD 22 ECCV 2024 19 CVPR 2024 14 CVPR 2023 14 More Normal samples With (Less Abnormal Samples or Weak Labels) 11 3.7 Uniform/Multi-Class AD 11 AAAI 2024 11 LLM related 10 ICCV 2023 10 SAM segment anything 9 3.8 Logical AD 9 3.2 Noisy AD 9 3.4 RGBD AD 9 WACV 2024 8 NeurIPS 2023 7 ICASSP 2024 7 NeurIPS 2024 5 3.4 3D AD 5 3.6 Uniform AD 3 ACM MM 2024 3 ICLR 2024 2 ICML 2023 2 3.6 Continual AD 2 ICLR 2023 2 Star History 1 3.5 3D AD 1 ACM MM 2023 1 3.6 Uniform/Multi-Class AD 1
Sub Categories
Zero-Shot AD 152 2.2.5 Others 106 TTT binary segmentation 58 2.1.4 Memory Bank 54 2.1.3 Distribution-Map 53 2.2.1 Autoencoder (AE) 47 2.1.1 Teacher-Student 41 2.2.2 Generative Adversarial Networks (GANs) 38 2.1.2 One-Class Classification (OCC) 26 2.2.3 Transformer 16 2.2.4 Diffusion Model 7
Keywords
unsupervised-learning 1 openvino 1 neural-network-compression 1 anomaly-segmentation 1 anomaly-localization 1 anomaly-detection 1