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

ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024 - CLIP)
- [ECCV 2024 - ad)
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024 - Research/Defect_Spectrum)
- [ECCV 2024 - mo.github.io/crad/)[[code]](https://github.com/tae-mo/CRAD)
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024
- [ECCV 2024 oral - Hallucination)
- [ECCV 2024
2.1 Feature-Embedding-based Methods
- 2.1.4 Memory Bank
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2020
  - [2022
  - [2022
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [2002 - ->
  - [2020
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [2022
  - [2022
  - [2022
  - [2022
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2021
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [2022
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
  - [ICPR 2021 - Anomaly-Detection-Localization-master)
- 2.1.2 One-Class Classification (OCC)
  - [CVPR 2023
  - [ACCV 2020
  - [2021
  - [2021
  - [2021
  - [2021
  - [ACCV 2020
  - [2021
  - [2021
  - [2021
  - [2021
  - [2020
  - [2021
  - [2021
  - [2021
  - [2021
  - [2020
  - [2021
  - [2021
  - [2021
  - [2021
  - [2021
  - [2021
  - [2021
  - [2021
  - [2020
- 2.1.1 Teacher-Student
  - [2021
  - [2021 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [Multimedia Tools and Applications 2024
  - [CVPR 2021
  - [CVPR 2021
  - [2021
  - [2021 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [CASE 2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [2022
  - [2022
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [CVPR 2020
  - [TBD 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [JMS 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [CVPR 2021
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [CVPR 2022 - deng/RD4AD)
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
  - [Multimedia Tools and Applications 2024
- 2.1.3 Distribution-Map
  - [2021
  - [2022
  - [2021
  - [2022
  - [Applied Intelligence 2024
  - [2022
  - [2022
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [Sensors 2018
  - [2021
  - [2022
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [2021 - Energy-Anomaly-Detection-of-Defect)
  - [2021
  - [TII 2023
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [ICME 2022
  - [Applied Intelligence 2024
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [2022
  - [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [ICCVDM 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [WACV 2022 - rudolph/cs-flow)
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [2021
  - [2021
  - [WACV 2022 - ad)
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [2022
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
  - [Applied Intelligence 2024
Others
- [CVPR 2023 Workshop
- [CASE 2024 - dataset)
- [IJCV 2023 - results)
- [2023
- [2023
- [2023
- [2023
- [IJCV 2023 - results)
- [CVPR Workshop 2023
- [2023
- Dataset Distillation
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [TIM 2022
- [IJCV 2023 - results)
- [2024
- [2024
- [2024
- [2023 - deng/AnoVL)
- [2023
- [2023
- [2023
- [TIP2024
- [2023
- [2023 Section 9.2
- [2023
- [2023
- [2023
Medical (related)
- [IJCV 2023 - results)
- [code
- [2024
- [2022
- [2015
- [2020
- [2022
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [2024
- [2023
- [2023
- [2022
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [2024 - XAD)
- [IJCV 2023 - results)
- [2024
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [2024
- [IJCV 2023 - results)
- [CVPR 2024
- [2024
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [TCYB 2024 - 3LAB/open-iad)[[中文]](https://blog.csdn.net/m0_63828250/article/details/136891730)
- [IJCV 2023 - results)
- [TIM 2022
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
- [IJCV 2023 - results)
3.4 RGBD AD
- Zero-Shot AD
  - [WACV 2022
  - [2023
  - [Neurocomputing 2024
  - [2024
  - [2024
  - [WACV 2022
  - [2022 - ADS)
  - [2022
  - [2023 - cs008/PD-REAL)
2.2 Reconstruction-Based Methods
- 2.2.1 Autoencoder (AE)
  - [2018
  - [2021
  - [2022
  - [2020
  - [2021
  - [2022
  - [2018
  - [Sensors 2018
  - [TIM 2018
  - [2020
  - [2021
  - [Neurocomputing 2020
  - [2021
  - [2021
  - [2022
  - [ICCV 2021
  - [2022
  - [BMVC 2020
  - [2020
  - [2022
  - [PR 2021
  - [2022
  - [CVPR 2022 oral
  - [TPAMI 2022
  - [2019
  - [2020
  - [2020
  - [2020
  - [2023
  - [2023
  - [2021
  - [2022
  - [2020
  - [2021
  - [2022
  - [2021
  - [2022
  - [2021
  - [2022
  - [2020
  - [2022
  - [2024
  - [2020
  - [TII 2024
  - [TPAMI 2022
- 2.2.2 Generative Adversarial Networks (GANs)
  - [PRICAI 2018
  - [PRICAI 2018
  - [TIP 2023 - gan)
  - [AAAI 2021
  - [2021
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [2021
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
  - [PRICAI 2018
- 2.2.4 Diffusion Model
  - [2022
  - [CVPR Workshop 2022
  - [2022
  - [2023
  - [2023
  - [2024
- 2.2.3 Transformer
  - [2022
  - [2022
  - [2022
  - [2022
  - [ICIAP 2022
  - [2022
  - [2022
  - [2022
  - [2022
  - [ISIE 2021
  - [2022
  - [TASE 2024
  - [TII 2022
  - [2022
  - [2022
  - [ICIAP 2022
3.7 Uniform/Multi-Class AD
- Zero-Shot AD
  - [2024
  - [2023
  - [2023
  - [2024
  - [2024
  - [2024
  - [2024
  - [TII 2024
  - [2024
3.8 Logical AD
- Zero-Shot AD
  - [IJCV 2022
  - [2023
  - [2023
  - [TCSVT 2023
  - [IJCV 2022
  - [2023
  - [2024 - 125/segad)
  - [2024 - Caption)
  - [2024
Other settings
- TTT binary segmentation
  - CID
  - DEEPPCB - | - | 1500 | Bounding box | RGB synthetic | 2019 |
  - Eyecandies
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [Computers in Industry 2021
  - [2013
  - [ACCV 2022 - ai.github.io/eyecandies/)
  - [CVPR 2019 - 020-01400-4.pdf) [[data]](https://www.mvtec.com/company/research/datasets/mvtec-ad)
  - [VISAPP 2021 - 3d-ad)
  - DAGM - | - | 11500 | Segmentation mask | RGB synthetic | 2007 |
  - [2022 - 2022.github.io/)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [ECCV 2022 - science/spot-diff)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [2024
  - [2021 - pipe-weld-defect-detection)
  - [TII 2016
  - [2015
  - [2019
  - [2020 - tile-defect-datasets.)
  - [2023
  - [2023
  - [2023 - Workshop/VISION-Datasets)
  - [IJRS 2023
  - [WACV 2024
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [data 2019
  - [IJCV 2022 - loco)
  - [2017
  - [IJCV 2022 - loco)
  - AITEX
  - BTAD - | - | 2830 | Segmentation mask | RGB real | 2021 |
  - DTD-Synthetic - | - | - | Segmentation mask | RGB synthetic | WACV,2024 |
  - GDXray
  - KolekrotSDD
  - KolekrotSDD2
  - MIAD
  - MPDD
  - MVTec AD
  - MVTec 3D-AD
  - MVTec LOCO-AD
  - NanoTwice
  - NEU surface defect
  - [Journal of Intelligent Manufacturing
  - [TIM 2024 - Defect-Detection)
  - [2024
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [2019
  - [IJCV 2022 - loco)
  - [2019 - defects)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
More Normal samples With (Less Abnormal Samples or Weak Labels)
- 2.2.5 Others
  - [2021
  - [ECCV 2020
  - [ICLR 2020
  - [2021 - network-image)
  - [WACV 2023
  - [2023
  - [TSMC 2024
  - [CVPR 2022
  - [ECCV 2020
  - [ICLR 2020
More Abnormal Samples
- 2.2.5 Others
  - [IJCV 2017
  - [IJAMT 2017
  - [2021
  - [ICRA 2021
  - [IJCV 2017
  - [2021
  - [TIP 2021
  - [ICRA 2021
  - [TIP 2020
  - [Robotics and Computer-Integrated Manufacturing 2020
  - [Applied Sciences 2019
  - [2018
  - [Applied Sciences 2018
  - [IFAC-PapersOnLine 2018
  - [IJCV 2017
  - [TIM 2017
  - Computing in civil engineering 2017
  - [IJAMT 2017
  - [Metallurgical & Mining Industry 2015
  - [CIRP annals 2016
  - [2023 - Attention-U-Net-with-Feature-Infusion-Pushing-the-Boundaries-of-Multiclass-Defect-Segmentation)
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [2021
  - [ICRA 2021
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [2021
  - [ICRA 2021
  - [IJCV 2017
  - [IJAMT 2017
  - [2021
  - [ICRA 2021
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [2021
  - [ICRA 2021
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [TIP 2021
  - [IJCV 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [2024
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
  - [IJCV 2017
  - [IJAMT 2017
3.1 Few-Shot AD
- 2.2.5 Others
  - [ECCV 2022 oral - SJTU/RegAD)
  - [ICCV 2021
  - [ECCV 2022 oral - SJTU/RegAD)
  - [2021
  - [2023 - few-shot/)
  - [(Distribution)WACV 2021
  - [2023
  - [2024
  - [(Memory bank)CVPR 2022
  - [ICCV 2021
  - [CVPRW 2023
  - [2024
  - [2021
- Zero-Shot AD
  - [2023
  - [2022
  - [IROS 2022 Workshop
  - [WACV 2023
  - [BMVC 2023
  - [2024
  - [2024
  - [2022
3.2 Noisy AD
- Zero-Shot AD
  - [TMLR 2021
  - [2022
  - [ICML 2022
  - [WACV 2021
  - [TMLR 2021
  - [2022
  - [ICML 2022
  - [AAAI 2022 oral
  - [NeurIPS 2022 - SoftPatch)
3.3 Anomaly Synthetic
- Zero-Shot AD
  - [2020
  - [2020
  - [2020
  - [2019
  - [2020
  - [2020
  - [2020
  - [2020
  - [BMVC 2022
  - [2021
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [(OCC)2022
  - [AAAI 2023
  - [2020
  - [(Reconstruction AE)ICCV 2021
  - [IEEE Access 2019
  - [2020
  - [2020
  - [(OCC)ICCV 2021 - cutpaste)
  - [2020
  - [TII 2022
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2020
  - [2024
  - [2020
  - [2024
  - [2020
  - [2020
  - [2020
  - [2020
  - [ECCV 2022
  - [ECCV 2022 - synthetic-anomalies)
  - [2020
  - [2020
  - [ECCV 2022
  - [2020
  - [2020
  - [2020
  - [2020
3.7 Logical AD
- Zero-Shot AD
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [PR 2016
  - [2017
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [2020 - tile-defect-datasets.)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [2017
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [2020 - tile-defect-datasets.)
  - [IJCV 2022 - loco)
  - [2020 - tile-defect-datasets.)
  - [IJCV 2022 - loco)
  - [2017
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [2017
  - [IJCV 2022 - loco)
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [2020 - tile-defect-datasets.)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [2017
  - [ICUMT 2021 - my.sharepoint.com/personal/xjezek16_vutbr_cz/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fxjezek16%5Fvutbr%5Fcz%2FDocuments%2FMPDD&ga=1)
  - [2020 - tile-defect-datasets.)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022 - loco)
  - [IJCV 2022
  - [IJCV 2022
CVPR 2023
- [CVPR Workshop paper list 2023
- [CVPR Workshop paper list 2023
- [CVPR 2023
- [CVPR 2023 - destseg)
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023 VAND Workshop Challenge
- [CVPR 2023 - Reverse-Distillation)
- [CVPR 2023
- [CVPR 2023
SAM segment anything
- [AAAI 2024
- [2023 SAM tech report
- [2023 SAM tech report
- [2023 SAM tech report
- [2023
- [2023 - zero-shot-anomaly-detection)
- [2023
- [2024
- [2024 - CDConcepts-Eval)
- [AAAI 2024
NeurIPS 2023
- [NeurIPS 2023
- [NeurIPS 2023
- [NeurIPS 2023
- [NeurIPS 2023
- [NeurIPS 2023 - shot-ad-via-batch-norm)
- [NeurIPS 2023 - Trans)
- [NeurIPS 2023 - 3LAB/Real3D-AD)[[中文]](https://blog.csdn.net/m0_63828250/article/details/136667168)
ICLR 2023
- [ICLR 2023
- [ICLR 2023
CVPR 2024
- [CVPR 2024
- [CVPR 2024
- [CVPR 2024 - 125/segad)
- [CVPR 2024 - Chen/PE-MIL)
- [CVPR 2024 - UoE/Looking3D)
- [CVPR 24 Visual Anomaly Detection Workshop
- [CVPR 2024 - lab/AHL)
- [CVPR 2024 - 0/PromptAD)
- [CVPR 2024
- [Challenge and Call for Papers
- [CVPR 2024 - lab/InCTRL)
- [CVPR 2024 - IAD)[[data]](https://realiad4ad.github.io/Real-IAD/)
- [CVPR 2024
- [CVPR 2024 - 233/Anomaly-ShapeNet)
3.4 3D AD
- Zero-Shot AD
  - [WACV 2022
  - [2022 - ADS)
  - [2022
  - [WACV 2022
  - [PRL 2024
3.5 3D AD
- Zero-Shot AD
  - [NeurIPS 2023 - 3LAB/Real3D-AD)
3.6 Continual AD
- Zero-Shot AD
  - [2023
  - [2023
3.6 Uniform/Multi-Class AD
- Zero-Shot AD
  - [NeurIPS 2022
3.6 Uniform AD
- Zero-Shot AD
  - [2023
  - [2023
  - [KBS 2024
Star History
- Zero-Shot AD
  - ![Star History Chart - history.com/#M-3LAB/awesome-industrial-anomaly-detection&Date)
CVPR 2025
- [CVPR 2025 - OV/)
- [CVPR 2025 - UoE/OddOneOutAD)
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025 - CLIP)
- [CVPR 2025 - SLOW/AnomalyNCD)
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025 - AD)
- [CVPR 2025 - PFL)
- [CVPR 2025
- [CVPR 2025
- [CVPR 2025 - 0/One-for-More)
- [CVPR 2025 - Former)
- [CVPR 2025 - vad.github.io/#)
- [CVPR 2025W
- [CVPR 2025 - 233/Physics-AD)
- [CVPR 2025 - bz/DeCo-Diff)
- [CVPR 2025 VAND 3.0 Workshop
Table of Contents
- Star - Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection**](https://arxiv.org/abs/2410.09453) | arxiv | 2024 | [Github](https://github.com/jam-cc/MMAD) | Benchmark |
- [paper with code
- [paper with code
- [paper with code
- [paper with code
- [paper with code
- Star - Class Embedding**](https://openaccess.thecvf.com/content/CVPR2022/html/Deng_Anomaly_Detection_via_Reverse_Distillation_From_One-Class_Embedding_CVPR_2022_paper.html) | CVPR | 2022 | [Github](https://github.com/hq-deng/RD4AD) | Teacher-Student |
- Star - Reverse-Distillation) | Teacher-Student |
- Star - Class-Classification |
- Star - shot anomaly detection**](https://link.springer.com/chapter/10.1007/978-3-031-20053-3_18) | ECCV | 2022 | [Github](https://github.com/MediaBrain-SJTU/RegAD) | Few Shot |
- Star - Language Models**](https://arxiv.org/abs/2308.15366) | AAAI | 2024 | [Github](https://github.com/CASIA-IVA-Lab/AnomalyGPT) | Few Shot |
- Star - set Supervised Anomaly Detection**](https://openaccess.thecvf.com/content/CVPR2022/html/Ding_Catching_Both_Gray_and_Black_Swans_Open-Set_Supervised_Anomaly_Detection_CVPR_2022_paper.html) | CVPR | 2022 | [Github](https://github.com/Choubo/DRA) | Few abnormal samples |
- Star - Push-Pull Contrastive Learning for Supervised Anomaly Detection**](https://openaccess.thecvf.com/content/CVPR2023/html/Yao_Explicit_Boundary_Guided_Semi-Push-Pull_Contrastive_Learning_for_Supervised_Anomaly_Detection_CVPR_2023_paper.html) | CVPR | 2023 | [Github](https://github.com/xcyao00/BGAD) | Few abnormal samples |
- Star - class classification via interpolated gaussian descriptor**](https://ojs.aaai.org/index.php/AAAI/article/view/19915) | AAAI | 2022 | [Github](https://github.com/tianyu0207/IGD) | Noisy AD |
- Star - time unsupervised anomaly detection with localization via conditional normalizing flows**](https://openaccess.thecvf.com/content/WACV2022/html/Gudovskiy_CFLOW-AD_Real-Time_Unsupervised_Anomaly_Detection_With_Localization_via_Conditional_Normalizing_WACV_2022_paper.html) | WACV | 2022 | [Github](https://github.com/gudovskiy/cflow-ad) | Distribution Map |
- Star - Abstract-Conference.html) | NeurIPS | 2022 | [Github](https://github.com/TencentYoutuResearch/AnomalyDetection-SoftPatch) | Noisy AD |
- Star - Resolution Defect Contrastive Localization using Pyramid Normalizing Flow**](https://openaccess.thecvf.com/content/CVPR2023/html/Lei_PyramidFlow_High-Resolution_Defect_Contrastive_Localization_Using_Pyramid_Normalizing_Flow_CVPR_2023_paper.html) | CVPR | 2023 | [Github](https://github.com/gasharper/PyramidFlow) | Distribution Map |
- Star - science/patchcore-inspection) | Memory-bank |
- Star - bank |
- Star - a discriminatively trained reconstruction embedding for surface anomaly detection**](https://openaccess.thecvf.com/content/ICCV2021/html/Zavrtanik_DRAEM_-_A_Discriminatively_Trained_Reconstruction_Embedding_for_Surface_Anomaly_ICCV_2021_paper.html) | ICCV | 2021 | [Github](https://github.com/vitjanz/draem) | Reconstruction-based |
- Star - projection network for surface anomaly detection**](https://link.springer.com/chapter/10.1007/978-3-031-19821-2_31) | ECCV | 2022 | [Github](https://github.com/VitjanZ/DSR_anomaly_detection) | Reconstruction-based |
- Star - frequency Channel-selection Representations for Unsupervised Anomaly Detection**](https://ieeexplore.ieee.org/abstract/document/10192551/) | TIP | 2023 | [Github](https://github.com/zhangzjn/ocr-gan) | Reconstruction-based |
- Star - based |
- Star - Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification**](https://openaccess.thecvf.com/content/ICCV2023/html/McIntosh_Inter-Realization_Channels_Unsupervised_Anomaly_Detection_Beyond_One-Class_Classification_ICCV_2023_paper.html) | ICCV | 2023 | [Github](https://github.com/DeclanMcIntosh/InReaCh) | Noisy AD |
- Star - learned Prompt**](https://ojs.aaai.org/index.php/AAAI/article/view/28153) | AAAI | 2024 | [Github](https://github.com/shirowalker/UCAD) | Continual AD |
- Star - class Anomaly Detection**](https://proceedings.neurips.cc/paper_files/paper/2022/hash/1d774c112926348c3e25ea47d87c835b-Abstract-Conference.html) | NeurIPS | 2022 | [Github](https://github.com/zhiyuanyou/UniAD) | Multi-class unified |
- Star - class Unsupervised Anomaly Detection**](https://openreview.net/pdf?id=clJTNssgn6) | NeurIPS | 2023 | [Github](https://github.com/RuiyingLu/HVQ-Trans) | Multi-class unified |
- Star
- Star - AD: A Dataset of Point Cloud Anomaly Detection**](https://openreview.net/pdf?id=zGthDp4yYe) | NeurIPS | 2023 | [Github](https://github.com/M-3LAB/Real3D-AD) | Point Cloud |
- Star
- Star - IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing**](https://arxiv.org/abs/2301.13359) | TCYB | 2024 | [Github](https://github.com/M-3LAB/open-iad) | Benchmark |
- Star - class Visual Anomaly Detection**](http://arxiv.org/pdf/2406.03262v1) | arxiv | 2024 | [Github](https://github.com/zhangzjn/ader) | Benchmark |
- Star - Language Models for Unified Zero-shot Anomaly Localization**](https://arxiv.org/abs/2308.15939) | arxiv | 2023 | [Github](https://github.com/hq-deng/AnoVL) | Zero Shot |
- Star
- Star - Agnostic Unified Framework for Visual Anomaly Detection**](https://arxiv.org/abs/2307.12540) | arxiv | 2023 | [Github](https://github.com/YoojLee/Uniformaly) | Multi-class unified |
ICLR 2024
- [ICLR 2024 - U/MuSc)
- [ICLR 2024
ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023 - lab/ADShift)
- [ICCV 2023
WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024 - IVA-Lab/AnomalyGPT)[[project page]](https://anomalygpt.github.io/)
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
- [AAAI 2024
MLLM related
- [2024
- [2024
- [ICCAD 2024
- [2024
- [AAAI 2024 - IVA-Lab/AnomalyGPT)[[project page]](https://anomalygpt.github.io/)
- [2024
- [2024
- [2025
- [ICLR 2025 - cc/MMAD) [[Data]](https://huggingface.co/datasets/jiang-cc/MMAD)
- [2025
- [2023
- [2023 - for-Generic-Anomaly-Detection)
- [2023 - 4V-AD)
- [2025
ACM MM 2024
- [ACM MM 2024
- [ACM MM 2024 - 3LAB/Group3AD)
- [ACM MM 2024 - IVA-Lab/FiLo)
- [ACM MM 2024
ACM MM 2023
- [ACM MM 2023
AAAI 2025
- [AAAI 2025
- [AAAI 2025
- [AAAI 2025 - hub/KAG-prompt)
- [AAAI 2025
- [AAAI 2025
- [AAAI 2025
- [AAAI 2025
- [AAAI 2025 - 3LAB/Look-Inside-for-More)
- [AAAI 2025
- [AAAI 2025 - MIG/SAM-SPT)
NeurIPS 2024
- [NeurIPS 2024
- [NeurIPS 2024
- [NeurIPS 2024
- [NeurIPS 2024 - iqia.github.io/cableinspect-ad/)
- [NeurIPS 2024
- [NeurIPS 2024
- [NeurIPS 2024 - ->
ICML 2023
- [ICML 2023
- [ICML 2023
ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
LLM related
- [2024
ICLR 2025
- [ICLR 2025 - SLOW/SeaS)
- [ICLR 2025
- [ICLR 2025
- [ICLR 2025

Programming Languages

Python 4 HTML 1

awesome-industrial-anomaly-detection

ECCV 2024

2.1 Feature-Embedding-based Methods

2.1.4 Memory Bank

2.1.2 One-Class Classification (OCC)

2.1.1 Teacher-Student

2.1.3 Distribution-Map

Others

Medical (related)

3.4 RGBD AD

Zero-Shot AD

2.2 Reconstruction-Based Methods

2.2.1 Autoencoder (AE)

2.2.2 Generative Adversarial Networks (GANs)

2.2.4 Diffusion Model

2.2.3 Transformer

3.7 Uniform/Multi-Class AD

Zero-Shot AD

3.8 Logical AD

Zero-Shot AD

Other settings

TTT binary segmentation

More Normal samples With (Less Abnormal Samples or Weak Labels)

2.2.5 Others

More Abnormal Samples

2.2.5 Others

3.1 Few-Shot AD

2.2.5 Others

Zero-Shot AD

3.2 Noisy AD

Zero-Shot AD

3.3 Anomaly Synthetic

Zero-Shot AD

3.7 Logical AD

Zero-Shot AD

CVPR 2023

SAM segment anything

NeurIPS 2023

ICLR 2023

CVPR 2024

3.4 3D AD

Zero-Shot AD

3.5 3D AD

Zero-Shot AD

3.6 Continual AD

Zero-Shot AD

3.6 Uniform/Multi-Class AD

Zero-Shot AD

3.6 Uniform AD

Zero-Shot AD

Star History

Zero-Shot AD

CVPR 2025

Table of Contents

ICLR 2024

ICCV 2023

WACV 2024

AAAI 2024

MLLM related

ACM MM 2024

ACM MM 2023

AAAI 2025

NeurIPS 2024

ICML 2023

ICASSP 2024

LLM related

ICLR 2025