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2206.04325
Cited By
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
IEEE Access (IEEE Access), 2022
9 June 2022
Sungwook Lee
Seunghyun Lee
B. Song
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ArXiv (abs)
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Github (110★)
Papers citing
"CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization"
50 / 102 papers shown
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Tom Diethe
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Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
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Haonan Han
Shuai Lu
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249
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31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names
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Kuan-Chuan Peng
Nuno Vasconcelos
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304
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29 Mar 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
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Ying Chen
Qiang Nie
Wenshu Fan
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
397
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0
21 Mar 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
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Ying Chen
Qiang Nie
Jianlin Liu
Yong-Jin Liu
Chengjie Wang
Feng Zheng
270
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0
21 Mar 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
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Jovana Bugaric
Manuel Barusco
Davide Dalle Pezze
Gian Antonio Susto
280
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0
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CSE: Surface Anomaly Detection with Contrastively Selected Embedding
Simon Thomine
H. Snoussi
184
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0
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A SAM-guided Two-stream Lightweight Model for Anomaly Detection
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246
17
0
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Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model
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Yong Bae Kim
J. Chang
Seo Hee Choi
Hyungjin Chung
Ik-jae Lee
H. Byun
DiffM
MedIm
166
0
0
28 Feb 2024
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
Hanqiu Deng
Xingyu Li
177
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0
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Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
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Jawad Tayyub
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272
16
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Yuanpeng Tu
Boshen Zhang
Liang Liu
Yuxi Li
Xuhai Chen
Jiangning Zhang
Yabiao Wang
Chengjie Wang
C. Zhao
331
24
0
06 Jan 2024
Distillation-based fabric anomaly detection
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Simon Thomine
H. Snoussi
212
16
0
04 Jan 2024
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiaqi Liu
Kai Wu
Qiang Nie
Ying Chen
Bin-Bin Gao
Yong-Jin Liu
Jinbao Wang
Chengjie Wang
Feng Zheng
CLL
280
42
0
02 Jan 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho
Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
216
12
0
21 Dec 2023
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim
Sion An
Philip Chikontwe
Myeongkyun Kang
Ehsan Adeli
K. Pohl
Sanghyun Park
285
39
0
21 Dec 2023
CRD: Collaborative Representation Distance for Practical Anomaly Detection
Chao Han
Yudong Yan
106
1
0
20 Dec 2023
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AAAI Conference on Artificial Intelligence (AAAI), 2023
Teng Hu
Jiangning Zhang
Ran Yi
Yuzhen Du
Xu Chen
Liang Liu
Yabiao Wang
Chengjie Wang
354
139
0
10 Dec 2023
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation
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Alexandros Iosifidis
293
1
0
24 Nov 2023
Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data
Chenyang Bi
Yueyang Li
Haichi Luo
290
6
0
12 Nov 2023
On Pixel-level Performance Assessment in Anomaly Detection
Mehdi Rafiei
T. Breckon
Alexandros Iosifidis
213
7
0
25 Oct 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2023
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
218
44
0
11 Oct 2023
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
Katsuya Hotta
Chao Zhang
Yoshihiro Hagihara
T. Akashi
238
5
0
25 Sep 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
VLM
MLLM
330
240
0
29 Aug 2023
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
International Conference on Information Photonics (ICIP), 2023
Yiming Huang
Guo-Shuai Liu
Yaoru Luo
Ge Yang
OOD
MedIm
206
4
0
29 Aug 2023
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
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Huiyuan Luo
Fei Shen
Zheng Zhang
178
1
0
23 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Masoud Taghikhah
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
347
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0
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Patch-wise Auto-Encoder for Visual Anomaly Detection
International Conference on Information Photonics (ICIP), 2023
Yajie Cui
Zhaoxiang Liu
Kai Wang
UQCV
ViT
127
0
0
01 Aug 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
414
3
0
26 Jun 2023
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao
Hanshi Sun
Hanqiu Deng
Yinsheng He
Zhaoxiang Zhang
Xingyu Li
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323
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0
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MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection
VISIGRAPP (VISIGRAPP), 2023
Simon Thomine
H. Snoussi
Mahmoud Soua
243
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0
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FABLE : Fabric Anomaly Detection Automation Process
International Conference on Computer Aided Design (ICCAD), 2023
Simon Thomine
H. Snoussi
Mahmoud Soua
142
5
0
16 Jun 2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
Neural Information Processing Systems (NeurIPS), 2023
Jia Guo
Shuai Lu
Lize Jia
Weihang Zhang
Huiqi Li
251
70
0
05 Jun 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jeeho Hyun
Sangyun Kim
Giyoung Jeon
Seung Hwan Kim
Kyunghoon Bae
Byungjin Kang
UQCV
373
72
0
26 May 2023
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Han Gao
Huiyuan Luo
Fei Shen
Zhengtao Zhang
222
10
0
25 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Andrei-Timotei Ardelean
Tim Weyrich
241
11
0
13 Apr 2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Lingrui Zhang
Shuheng Zhang
Guoyang Xie
Jiaqi Liu
Hua Yan
Jinbao Wang
Feng Zheng
Yaochu Jin
379
14
0
06 Apr 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
439
78
0
15 Mar 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Guoyang Xie
Jinbao Wang
Jiaqi Liu
Jiayi Lyu
Wenshu Fan
Chengjie Wang
Feng Zheng
Yaochu Jin
VLM
355
108
0
31 Jan 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
International Conference on Learning Representations (ICLR), 2023
Guoyang Xie
Jingbao Wang
Jiaqi Liu
Feng Zheng
Yaochu Jin
313
94
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28 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey
Machine Intelligence Research (MIR), 2023
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Guoyang Xie
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Shangwen Li
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Yaochu Jin
408
314
0
27 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Computer Vision and Pattern Recognition (CVPR), 2022
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Zuxuan Wu
Liang Luo
Zhineng Chen
Yuwei Jiang
UQCV
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250
101
0
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MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
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Jiadong Chen
Wei Li
Xiang Wang
Jingjing Fei
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Ye Zheng
334
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0
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U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
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Álvaro Pardo
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308
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N-pad : Neighboring Pixel-based Industrial Anomaly Detection
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Eugene Hwang
Sung-Hyuk Park
234
30
0
17 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
361
3
0
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Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
ViT
MedIm
555
102
0
25 Sep 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Xincheng Yao
Ruoqing Li
Jing Zhang
Jun Sun
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265
102
0
04 Jul 2022
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