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Learning Unified Reference Representation for Unsupervised Multi-class
  Anomaly Detection
v1v2 (latest)

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

European Conference on Computer Vision (ECCV), 2024
18 March 2024
Liren He
Zhengkai Jiang
Jinlong Peng
Liang Liu
Qiangang Du
Xiaobin Hu
Wenbing Zhu
Mingmin Chi
Yabiao Wang
Chengjie Wang
ArXiv (abs)PDFHTML

Papers citing "Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection"

12 / 12 papers shown
Title
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao
Yan Luo
Zefeng Qian
Chongyang Zhang
303
1
0
07 Nov 2025
ShortcutBreaker: Low-Rank Noisy Bottleneck with Global Perturbation Attention for Multi-Class Unsupervised Anomaly Detection
ShortcutBreaker: Low-Rank Noisy Bottleneck with Global Perturbation Attention for Multi-Class Unsupervised Anomaly Detection
Peng Tang
Xiaoxiao Yan
Xiaobin Hu
Yuning Cui
Donghao Luo
...
Jinlong Peng
Qingdong He
Feiyue Huang
Song Xue
Tobias Lasser
56
0
0
21 Oct 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
128
1
0
28 Sep 2025
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
Muhammad Aqeel
Danijel Skocaj
Marco Cristani
Francesco Setti
94
0
0
25 Aug 2025
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Jaehyuk Heo
Pilsung Kang
VLM
120
1
0
04 Aug 2025
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts
Chiao-An Yang
Kuan-Chuan Peng
Raymond A. Yeh
113
0
0
22 Jul 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
ReplayCAD: Generative Diffusion Replay for Continual Anomaly DetectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Lei Hu
Zhiyong Gan
Ling Deng
Jinglin Liang
Lingyu Liang
Shuangping Huang
Tianshui Chen
DiffM
238
2
0
10 May 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Wenbing Zhu
Lidong Wang
Ziqing Zhou
Chengjie Wang
Yurui Pan
...
Yulong Chen
Shuguang Qian
M. Chi
Bo Peng
Lizhuang Ma
208
4
0
19 Apr 2025
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
Jiajie Quan
Ao Tong
Rui Yu
Xinwei He
Yanjie Wang
Yang Zhou
307
1
0
27 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Fuyun Wang
Tong Zhang
Yuanzhi Wang
Yide Qiu
Xin Liu
Xu Guo
Zhen Cui
DiffM
223
4
0
28 Feb 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
One-for-More: Continual Diffusion Model for Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Xiaofan Li
Xin Tan
Zhuo Chen
Zhizhong Zhang
Ruixin Zhang
...
Guanna Jiang
Yulong Chen
Yanyun Qu
Lizhuang Ma
Yuan Xie
DiffM
554
8
0
27 Feb 2025
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Yuxuan Cheng
Jingbo Xia
Rui Yu
Jinhai Xiang
Xinwei He
AAML
373
0
0
14 Aug 2024
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