Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

European Conference on Computer Vision (ECCV), 2025

14 May 2025

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Papers citing "Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt"

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Title
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era Wenbing Zhu Chengjie Wang Bin-Bin Gao Jiangning Zhang Guannan Jiang ... Linjie Cheng Yurui Pan Bo Peng M. Chi Lizhuang Ma 60 0 0 01 Nov 2025
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection Yuanting Fan Jun Liu Xiaochen Chen Bin-Bin Gao Jian Li Y. Liu Jinlong Peng Chengjie Wang 180 0 0 30 Oct 2025
Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework Koichiro Kamide Shunsuke Sakai Shun Maeda Chunzhi Gu Chao Zhang 44 0 0 25 Aug 2025
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts Chiao-An Yang Kuan-Chuan Peng Raymond A. Yeh 97 0 0 22 Jul 2025
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Wei Luo Haiming Yao Yunkang Cao Qiyu Chen Ang Gao Weiming Shen Weihang Zhang 240 3 0 01 Jul 2025
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly DetectionIEEE Transactions on Industrial Informatics (IEEE TII), 2025 Qiyu Chen Huiyuan Luo Haiming Yao Wei Luo Zhen Qu Chengkan Lv Zhengtao Zhang 274 5 0 23 May 2025
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhou Jiangtao Yan Y. Cai Weinan Zhang Meng Wang Jun Liu Wenshu Fan Lei Wang Chengjie Wang VLM 231 7 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 294 0 0 14 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li Xianrui Li Xiaohu Zhang Xia Yang 238 0 0 06 May 2025
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya Zhang Xinchao Wang Yanfeng Wang MedIm 201 79 0 19 Mar 2024
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly DetectionInternational Conference on Learning Representations (ICLR), 2023 Qihang Zhou Guansong Pang Yu Tian Shibo He Jiming Chen VLM 585 265 0 29 Oct 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Zhaopeng Gu Bingke Zhu Guibo Zhu Yingying Chen Ming Tang Jinqiao Wang VLM MLLM 219 221 0 29 Aug 2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly DetectionIEEE International Conference on Computer Vision (ICCV), 2023 Xincheng Yao Ruoqing Li Zefeng Qian Yan Luo Chongyang Zhang 153 35 0 06 Aug 2023
Segment Any Anomaly without Training via Hybrid Prompt RegularizationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023 Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Nong Sang VLM 230 84 0 18 May 2023
SimpleNet: A Simple Network for Image Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2023 Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 222 401 0 27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and SegmentationComputer Vision and Pattern Recognition (CVPR), 2023 Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran Onkar Dabeer VLM 250 329 0 26 Mar 2023
Diversity-Measurable Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2023 Wenrui Liu Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 160 95 0 09 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing FlowComputer Vision and Pattern Recognition (CVPR), 2023 Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 255 98 0 05 Mar 2023
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detectionInternational Conference on Learning Representations (ICLR), 2023 Shancong Mou Xiaoyi Gu Mengsi Cao Haoping Bai Ping Huang Jiulong Shan Jianjun Shi 122 13 0 24 Feb 2023
Prototypical Residual Networks for Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2022 H. Zhang Zuxuan Wu Liang Luo Zhineng Chen Yuwei Jiang UQCV AI4TS 209 92 0 05 Dec 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022 Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 255 222 0 21 Nov 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and SegmentationEuropean Conference on Computer Vision (ECCV), 2022 Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 184 476 0 28 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022 Xincheng Yao Ruoqing Li Jing Zhang Jun Sun Chongyang Zhang 193 97 0 04 Jul 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationIEEE Access (IEEE Access), 2022 Sungwook Lee Seunghyun Lee B. Song 257 267 0 09 Jun 2022
A Unified Model for Multi-class Anomaly DetectionNeural Information Processing Systems (NeurIPS), 2022 Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 339 343 0 08 Jun 2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language ModelComputer Vision and Pattern Recognition (CVPR), 2022 Yu Du Fangyun Wei Zihe Zhang Miaojing Shi Yue Gao Guoqi Li VPVLM VLM 214 406 0 28 Mar 2022
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-DecoderIEEE Access (IEEE Access), 2022 Yunseung Lee Pilsung Kang ViT 183 102 0 21 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class EmbeddingComputer Vision and Pattern Recognition (CVPR), 2022 Hanqiu Deng Xingyu Li UQCV 329 693 0 26 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.2K 20,333 0 20 Dec 2021
SQUID: Deep Feature In-Painting for Unsupervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2021 Tiange Xiang Yixiao Zhang Yongyi Lu Alan Yuille Chaoyi Zhang Weidong (Tom) Cai Zongwei Zhou UQCV 229 55 0 26 Nov 2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection Nicolae-Cătălin Ristea Neelu Madan Radu Tudor Ionescu Kamal Nasrollahi Fahad Shahbaz Khan T. Moeslund M. Shah 352 245 0 17 Nov 2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 194 272 0 06 Oct 2021
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 452 849 0 17 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly DetectionIEEE International Conference on Computer Vision (ICCV), 2021 Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou 187 176 0 28 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 196 1,239 0 15 Jun 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and LocalizationInternational Symposium on Industrial Electronics (ISIE), 2021 P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 241 405 0 20 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2021 Chun-Liang Li Kihyuk Sohn Chang Jo Kim Tomas Pfister SSL UQCV 210 988 0 08 Apr 2021
Student-Teacher Feature Pyramid Matching for Anomaly DetectionBritish Machine Vision Conference (BMVC), 2021 Guodong Wang Shumin Han Errui Ding Di Huang 193 293 0 07 Mar 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.9K 39,712 0 26 Feb 2021
Multiresolution Knowledge Distillation for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2020 Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 305 555 0 22 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 233 1,093 0 17 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2020 Mariana-Iuliana Georgescu Antonio Bărbălău Radu Tudor Ionescu Fahad Shahbaz Khan Marius Popescu M. Shah SSL 374 310 0 15 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 287 290 0 12 Oct 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionInternational Conference on Pattern Recognition (ICPR), 2020 Oliver Rippel Patrick Mertens Dorit Merhof 262 270 0 28 May 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmComputer Vision and Pattern Recognition (CVPR), 2020 M. Zaheer Jin-ha Lee Marcella Astrid Seung-Ik Lee AAML 274 233 0 16 Apr 2020
Learning Memory-guided Normality for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2020 Hyunjong Park Jongyoun Noh Bumsub Ham 217 778 0 30 Mar 2020
Learn to Segment Retinal Lesions and BeyondInternational Conference on Pattern Recognition (ICPR), 2019 Qijie Wei Xirong Li Weihong Yu Xiao Zhang Yongpeng Zhang ... Bin Mo Di Gong N. Chen Dayong Ding You-xin Chen MedIm 222 64 0 25 Dec 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2019 Paul Bergmann Michael Fauser David Sattlegger C. Steger 326 814 0 06 Nov 2019
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection Nilesh A. Ahuja I. Ndiour Trushant Kalyanpur Omesh Tickoo OODD 184 75 0 25 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Mingxing Tan Quoc V. Le 3DV MedIm 594 21,119 0 28 May 2019