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add a new anomaly detection and segmentation paper published in PR journal #46

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add a new anomaly detection and segmentation paper published in PR journal #46

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Update README.md
YoungGod Jun 29, 2022
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Merge branch 'master' into master
YoungGod Jun 29, 2022
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9 changes: 1 addition & 8 deletions README.md
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Expand Up @@ -183,14 +183,7 @@ In image, video data, it is aimed to classify abnormal images or to segment abno
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings | **[CVPR' 20]** | [`[pdf]`](https://openaccess.thecvf.com/content_CVPR_2020/papers/Bergmann_Uninformed_Students_Student-Teacher_Anomaly_Detection_With_Discriminative_Latent_Embeddings_CVPR_2020_paper.pdf)
- Attention Guided Anomaly Detection and Localization in Images | **[ECCV' 20]** | [`[pdf]`](https://arxiv.org/pdf/1911.08616v1.pdf)
- Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images | **[ECCV' 20]**
- Sub-Image Anomaly Detection with Deep Pyramid Correspondences | **[arXiv' 20]** | [`[pdf]`](https://arxiv.org/pdf/2005.02357.pdf) | [`[code]`](https://github.com/byungjae89/SPADE-pytorch)
- Patch SVDD, Patch-level SVDD for Anomaly Detection and Segmentation | **[arXiv' 20]** | [`[pdf]`](https://arxiv.org/pdf/2006.16067.pdf) | [`[code]`](https://github.com/nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch)
- Unsupervised anomaly segmentation via deep feature reconstruction | **[Neurocomputing' 20]**| [`[pdf]`](https://www.sciencedirect.com/science/article/pii/S0925231220317951) | [`[code]`](https://github.com/YoungGod/DFR)
- PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization | **[ICPR IML Workshop' 20]**| [`[pdf]`](https://arxiv.org/abs/2011.08785) | [`[code]`](https://github.com/xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master)
- Explainable Deep One-Class Classification | **[ICLR' 21]**| [`[pdf]`](https://openreview.net/forum?id=A5VV3UyIQz) | [`[code]`](https://github.com/liznerski/fcdd)
- Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation | **[arXiv' 21]** [`[pdf]`](https://arxiv.org/pdf/2105.14737)
- Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images | **[MICCAI' 21]**| [`[pdf]`](https://arxiv.org/pdf/2103.03423.pdf) | [`[code]`](https://github.com/tianyu0207/CCD)
- Multiresolution Knowledge Distillation for Anomaly Detection | **[CVPR' 21]**| [`[pdf]`](https://arxiv.org/abs/2011.11108)


## Contact & Feedback
If you have any suggestions about papers, feel free to mail me :)
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