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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
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [CVPR 2024
- [CVPR 2024
- [CVPR 2024 - lab/InCTRL)
- [CVPR 2024
- [CVPR 2024 - 233/Anomaly-ShapeNet)
- [CVPR 2024 - IAD)[[data]](https://realiad4ad.github.io/Real-IAD/)
- [CVPR 2024
- [CVPR 2024 - 0/PromptAD)
- [Challenge and Call for Papers
- [CVPR 2024 - lab/AHL)
- [ICLR 2024
- [ICLR 2024 - U/MuSc)
- [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
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [WACV 2024
- [NeurIPS 2023 - 3LAB/Real3D-AD)[[中文]](https://blog.csdn.net/m0_63828250/article/details/136667168)
- [NeurIPS 2023
- [NeurIPS 2023 - shot-ad-via-batch-norm)
- [NeurIPS 2023
- [NeurIPS 2023
- [NeurIPS 2023 - Trans)
- [NeurIPS 2023
- [ICML 2023
- [ICML 2023
- [ACM MM 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023 - lab/ADShift)
- [ICCV 2023
- [ICCV 2023
- [ICCV 2023
- [2023
- [AAAI 2024 - IVA-Lab/AnomalyGPT)[[project page]](https://anomalygpt.github.io/)
- [2023 Section 9.2
- [2023 - for-Generic-Anomaly-Detection)
- [2023 - 4V-AD)
- [2024
- [2024
- [CVPR Workshop 2023(mainly on video anomaly detection)
- [CVPR Workshop paper list 2023
- [CVPR Workshop paper list 2023
- [CVPR 2023 - Reverse-Distillation)
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023 - destseg)
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023
- [CVPR 2023 VAND Workshop Challenge
- [2023 SAM tech report
- [2023 SAM tech report
- [2023 - zero-shot-anomaly-detection)
- [2023 SAM tech report
- [2023
- [AAAI 2024
- [2023
- [2024
- [ICLR 2023
- [ICLR 2023
- [2023
- [2023
- [2023
- [2023 - spectrum-authors.github.io/defect-spectrum/)
- [2023
- [2023
- [2023 Section 9.2
- [2023
- [2023
- [2023
- [2023 - deng/AnoVL)
- [2023
- [CVPR 2023 Workshop
- [2023
- Dataset Distillation
- [2023
- [2024
- [2024
- [2024
- [TIP2024
- [2024
- [2024
- [2024
- [2024
- [2023
- [2023
- [CVPR 2024
- [2024
- [2015
- [2020
- [TIM 2022
- [2022
- [IJCV 2023 - results)
- [2022
- [TCYB 2024 - 3LAB/open-iad)[[中文]](https://blog.csdn.net/m0_63828250/article/details/136891730)
- [TII 2017
- [code
- [2022
- [CVPR Workshop 2023
- [2023
- [2024
- [2024
- [2024 - XAD)
- [WACV 2024
- [CVPR 2023 - Reverse-Distillation)
- [CVPR 2020
- [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
- [CVPR 2022 - deng/RD4AD)
- [WACV 2022 - rudolph/AST)
- [2022
- [ICCV 2023
- [2023
- [TBD 2024
- [JMS 2024
- [Multimedia Tools and Applications 2024
- [ICASSP 2024
- [2024
- [ACCV 2020
- [2021
- [2021
- [2021
- [2021
- [2021
- [2021
- [2020
- [2021
- [2021
- [ICCV 2021 - cutpaste)
- [2020
- [2022
- [CVPR 2023
- [2023
- [ICCV 2023 - lab/ADShift)
- [WACV 2024
- [Sensors 2018
- [2021
- [2021
- [2021
- [2022
- [2022
- [2022 - and-PEFM-for-Image-Anomaly-Detection-and-Segmentation)
- [ICME 2022
- [2021 - Energy-Anomaly-Detection-of-Defect)
- [2021
- [WACV 2021 - rudolph/differnet)
- [WACV 2022 - rudolph/cs-flow)
- [WACV 2022 - ad)
- [2022
- [2022
- [TII 2023
- [CVPR 2023
- [WACV 2024
- [ICML 2023
- [Applied Intelligence 2024
- [ICCVDM 2024
- [WACV 2024
- [2002 - ->
- [2020
- [2021
- [2021
- [ICPR 2021 - Anomaly-Detection-Localization-master)
- [2021
- [CVPR 2022 - science/patchcore-inspection)
- [2022
- [2022
- [2022
- [2022
- [ECCV 2022
- [CVPR 2023
- [2023
- [2023
- [ICCV 2023
- [ICCV 2023
- [2024 - mo/GRAD)
- [2024
- [2024
- [ICASSP 2024
- [BMVC 2023
- [ICLR 2024
- [CVPR 2023
- [2023
- [2023
- [2023 - deng/AnoVL)
- [AAAI 2024 - IVA-Lab/AnomalyGPT)[[project page]](https://anomalygpt.github.io/)
- [2024
- [2024 - Xu/Customizable-VLM)
- [CVPR 2024 - 0/PromptAD)
- [2024
- [2024
- [2024
- [2018
- [Sensors 2018
- [TIM 2018
- [2020
- [2021
- [Neurocomputing 2020
- [2021
- [2020
- [2021
- [2022
- [ICCV 2021
- [2022
- [2022
- [BMVC 2020
- [2020
- [2022
- [PR 2021
- [ICCV 2021
- [ECCV 2022
- [ECCV 2022 - synthetic-anomalies)
- [2022
- [CVPR 2022 oral
- [TPAMI 2022
- [2019
- [2020
- [2020
- [2020
- [2020
- [2023
- [2023
- [2023
- [ICCV 2023
- [ICCV 2023
- [2023
- [CVPR 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [ICASSP 2024
- [TII 2024
- [2024
- [TIP 2023 - gan)
- [AAAI 2021
- [2021
- [PRICAI 2018
- [AAAI 2023
- [ISIE 2021
- [2022
- [2022
- [2022
- [ICIAP 2022
- [2022
- [TII 2022
- [ICCV 2023
- [TASE 2024
- [CVPR Workshop 2022
- [2022
- [2023
- [2023
- [ICCV 2023
- [ICCV 2023
- [2023
- [2023
- [AAAI 2024
- [2024
- [ICCV 2023
- [ECCV 2020
- [ICLR 2020
- [ECCV 2020
- [2021
- [2021 - network-image)
- [CVPR 2022
- [WACV 2023
- [CVPR 2023
- [2023
- [CVPR 2024 - lab/AHL)
- [AAAI 2023
- [AAAI 2024
- [TSMC 2024
- [2024
- [2021
- [TIP 2021
- [TIP 2021
- [ICRA 2021
- [TIP 2020
- [Robotics and Computer-Integrated Manufacturing 2020
- [IEEE Access 2019
- [Applied Sciences 2019
- [CACIE 2018
- [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
- [2023
- [2023 - Attention-U-Net-with-Feature-Infusion-Pushing-the-Boundaries-of-Multiclass-Defect-Segmentation)
- [2024
- [2024 - 125/segad)
- [ICCV 2021
- [ECCV 2022 oral - SJTU/RegAD)
- [(Distribution)WACV 2021
- [(Memory bank)CVPR 2022
- [ICCV 2021
- [2021
- [2023 - few-shot/)
- [AAAI 2024 - IVA-Lab/AnomalyGPT)[[project page]](https://anomalygpt.github.io/)
- [ICCV 2023
- [2023
- [TIP2024
- [CVPR 2024
- [CVPR 2024
- [2024
- [2024
- [CVPRW 2023
- [2024
- [BMVC 2023
- [2023
- [WACV 2023
- [2022
- [CVPR 2023
- [2023 - zero-shot-anomaly-detection)
- [IROS 2022 Workshop
- [CVPR 2023 VAND Workshop Challenge
- [2023 - deng/AnoVL)
- [2023
- [WACV 2024
- [WACV 2024
- [ICLR 2024
- [ICLR 2024 - U/MuSc)
- [2023
- [2023
- [2024
- [CVPR 2024 - lab/InCTRL)+ PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection [[CVPR 2024]](https://arxiv.org/abs/2404.05231)[[code]](https://github.com/FuNz-0/PromptAD)
- [2024
- [2024
- [2024
- [2024
- [WACV 2021
- [TMLR 2021
- [2022
- [ICML 2022
- [AAAI 2022 oral
- [NeurIPS 2022 - SoftPatch)
- [ICCV 2023
- [(OCC)ICCV 2021 - cutpaste)
- [(Reconstruction AE)ICCV 2021
- [ECCV 2022
- [ECCV 2022 - synthetic-anomalies)
- [(OCC)2022
- [IEEE Access 2019
- [2019
- [2020
- [2020
- [2020
- [2020
- [2020
- [BMVC 2022
- [2021
- [TII 2022
- [2023
- [CVPR 2023 - destseg)
- [AAAI 2024
- [CVPR 2024
- [2024
- [2024
- [AAAI 2024
- [ICASSP 2024
- [2024 - Caption)
- [AAAI 2023
- [WACV 2022
- [2022 - ADS)
- [2022
- [WACV 2022
- [CVPR 2023
- [2023
- [2023 - cs008/PD-REAL)
- [CVPR 2024 - 233/Anomaly-ShapeNet)
- [ICML 2023
- [ACM MM 2023
- [NeurIPS 2023 - 3LAB/Real3D-AD)
- [2024
- [WACV 2024
- [Neurocomputing 2024
- [PRL 2024
- [AAAI 2024
- [CVPR 2024
- [2024
- [2024
- [2023
- [ACM MM 2022
- [2023
- [AAAI 2024
- [NeurIPS 2022
- [CVPR 2023
- [2023
- [NeurIPS 2023 - Trans)
- [ICCV 2023
- [2023
- [2023
- [2023
- [AAAI 2024
- [2023
- [2024
- [KBS 2024
- [2024
- [2024
- [2024
- [2024
- [CVPR 2024
- [2024
- [2024
- [2024
- [IJCV 2022
- [2023
- [2023
- [WACV 2024
- [WACV 2024
- [2023
- [TCSVT 2023
- [ICCV 2023
- [AAAI 2024
- [AAAI 2024
- [2024
- [2024 - Caption)
- [2024 - 125/segad)
- [2024
- AITEX
- Anomaly-ShapeNet - 233/Anomaly-ShapeNet) | 40 | - | - | 1600 | Point-level mask | Point-cloud synthetic | CVPR,2024 |
- BTAD - | - | 2830 | Segmentation mask | RGB real | 2021 |
- CID
- DAGM - | - | 11500 | Segmentation mask | RGB synthetic | 2007 |
- DEEPPCB - | - | 1500 | Bounding box | RGB synthetic | 2019 |
- DTD-Synthetic - | - | - | Segmentation mask | RGB synthetic | WACV,2024 |
- Eyecandies
- Fabirc dataset
- GDXray
- IPAD - | - | 597979 | Image | Video real&synthetic | 2024 |
- KolekrotSDD
- KolekrotSDD2
- MIAD
- MPDD
- MTD
- MVTec AD
- MVTec 3D-AD
- MVTec LOCO-AD
- NanoTwice
- NEU surface defect
- PAD
- Real-IAD
- Real3D-AD - level mask | Point-cloud real | NeurIPS,2023 |
- RSDD - | - | 195 | Segmentation mask | RGB real | 2017 |
- Steel defect detection - | - | 18076 | Image | RGB real | 2019 |
- Steel tube dataset
- VisA
- [2013
- [2021 - pipe-weld-defect-detection)
- [data 2019
- [TII 2016
- [2015
- [2019
- [PR 2016
- [Journal of Intelligent Manufacturing
- [Computers in Industry 2021
- [2017
- [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)
- [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)
- [2021
- [ECCV 2022 - science/spot-diff)
- [2020 - tile-defect-datasets.)
- [data 2007
- [2022 - 2022.github.io/)
- [homepage
- [2023
- [2023
- [2023 - Workshop/VISION-Datasets)
- [NeurIPS 2023
- [2023
- [NeurIPS 2023 - 3LAB/Real3D-AD)
- [IJRS 2023
- [2023 - cs008/PD-REAL)
- [WACV 2024
- [2023 - spectrum-authors.github.io/defect-spectrum/)
- [WACV 2023
- [CVPR 2024 - 233/Anomaly-ShapeNet)
- [CVPR 2024 - IAD)[[data]](https://realiad4ad.github.io/Real-IAD/)
- [TIM 2024 - Defect-Detection)
- [2024
- [2024 - Caption)
- [2024 - 125/segad)
- ![Star History Chart - history.com/#M-3LAB/awesome-industrial-anomaly-detection&Date)
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