SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu, Yiming Zhou, Yuansheng Xu, Zilei Wang
2023年份
92顶会引用
摘要
Screw Transistor Cable Bottle Metal_nut Hazelnut Pill Wood Carpet Grid Toothbrush Leather Zipper Capsule Tile Figure 1. Visualization of samples in MVTec AD. The produced anomaly maps superimposed on the images. Anomaly region of high anomaly score is colored with orange. The red boundary denotes contours of actual segmentation maps for anomalies.
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引用它的顶会 Paper92
- MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly DetectionHaoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He 等NeurIPS 2024 · 被引用 251 次
- RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly DetectionXimiao Zhang, Min Xu, Xiuzhuang ZhouCVPR 2024 · 被引用 140 次
- ReContrast: Domain-Specific Anomaly Detection via Contrastive ReconstructionJia Guo, Shuai Lu, Lize Jia, Weihang Zhang 等NeurIPS 2023 · 被引用 124 次
- Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly DetectionRuiying Lu, Yujie Wu, Long Tian, Dongsheng Wang 等NeurIPS 2023 · 被引用 121 次
- MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled ImagesXurui Li, Ziming Huang, Feng Xue, Yu ZhouICLR 2024 · 被引用 76 次
它引用的顶会 Paper11
- Towards Total Recall in Industrial Anomaly DetectionKarsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf 等CVPR 2022 · 被引用 1,301 次
- Anomaly Detection via Reverse Distillation from One-Class EmbeddingHanqiu Deng, Xingyu LiCVPR 2022 · 被引用 701 次
- Self-Supervised Predictive Convolutional Attentive Block for Anomaly DetectionNicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi 等CVPR 2022 · 被引用 264 次
- Learning and Evaluating Representations for Deep One-Class ClassificationKihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin 等ICLR 2021 · 被引用 243 次
- Explainable Deep One-Class ClassificationPhilipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks 等ICLR 2021 · 被引用 240 次
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