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2012.07122
Cited By
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Neurocomputing (Neurocomputing), 2020
13 December 2020
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
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Papers citing
"DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation"
38 / 38 papers shown
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao
Yan Luo
Zefeng Qian
Chongyang Zhang
495
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07 Nov 2025
2D_3D Feature Fusion via Cross-Modal Latent Synthesis and Attention Guided Restoration for Industrial Anomaly Detection
Usman Ali
Ali Zia
Abdul Rehman
Umer Ramzan
Zohaib Hassan
Talha Sattar
Jing Wang
Wei Xiang
146
1
0
20 Oct 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
248
1
0
28 Sep 2025
Surface Defect Detection with Gabor Filter Using Reconstruction-Based Blurring U-Net-ViT
Jongwook Si
Sungyoung Kim
135
0
0
31 Aug 2025
Bi-Grid Reconstruction for Image Anomaly Detection
Huichuan Huang
Zhiqing Zhong
Guangyu Wei
Yonghao Wan
Wenlong Sun
Aimin Feng
357
1
0
01 Apr 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Zekang Weng
Jinjin Shi
Jinwei Wang
Zeming Han
439
0
0
26 Feb 2025
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2024
Xincheng Yao
Zhongfu Chen
Chao Gao
Guangtao Zhai
Chongyang Zhang
322
21
0
26 Oct 2024
Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection
Monu
Rohan Raju Dhanakshirur
209
1
0
07 Oct 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
Neural Information Processing Systems (NeurIPS), 2024
Akshatha Arodi
Margaux Luck
Jean-Luc Bedwani
Aldo Zaimi
Ge Li
Nicolas Pouliot
Julien Beaudry
Gaétan Marceau Caron
213
8
0
30 Sep 2024
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
Zilong Zhang
Chang Niu
Yi Lin
Jingchi Jiang
Xuefeng Chen
241
10
0
31 Jul 2024
ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement
Shichen Qu
Xian Tao
Zhen Qu
Xinyi Gong
Zhengtao Zhang
Mukesh Prasad
376
2
0
25 Jul 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2024
Jia Guo
Shuai Lu
Weihang Zhang
Huiqi Li
Huiqi Li
Hongen Liao
ViT
765
89
0
23 May 2024
Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
Sambal Shikhar
Anupam Sobti
206
4
0
13 Apr 2024
Test Time Training for Industrial Anomaly Segmentation
Alex Costanzino
Pierluigi Zama Ramirez
Mirko Del Moro
Agostino Aiezzo
Giuseppe Lisanti
Samuele Salti
Luigi Di Stefano
241
3
0
04 Apr 2024
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
Hanqiu Deng
Xingyu Li
230
5
0
27 Feb 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
388
64
0
07 Dec 2023
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
Katsuya Hotta
Chao Zhang
Yoshihiro Hagihara
T. Akashi
332
6
0
25 Sep 2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Xincheng Yao
Ruoqing Li
Zefeng Qian
Yan Luo
Chongyang Zhang
245
47
0
06 Aug 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Applied Sciences (Appl. Sci.), 2023
Shiqi Deng
Zhiyu Sun
Wensheng Liang
Jun Gong
265
12
0
06 Jul 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
447
14
0
06 Apr 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
Zilong Zhang
Zhibin Zhao
Xingwu Zhang
Chuang Sun
Xuefeng Chen
446
104
0
05 Apr 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
IEEE Transactions on Medical Imaging (TMI), 2023
I. Lagogiannis
Felix Meissen
Georgios Kaissis
Daniel Rueckert
OOD
457
32
0
01 Mar 2023
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
IEEE Transactions on Industrial Informatics (IEEE TII), 2023
Yunkang Cao
Xiaohao Xu
Zhaoge Liu
Nong Sang
373
135
0
17 Feb 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
416
119
0
31 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey
Machine Intelligence Research (MIR), 2023
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
541
372
0
27 Jan 2023
Unsupervised Visual Defect Detection with Score-Based Generative Model
Yapeng Teng
Haoyang Li
Fuzhen Cai
Mingli Shao
Siyu Xia
MedIm
DiffM
160
14
0
29 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Journal of Mathematical Imaging and Vision (JMIV), 2022
Matías Tailanián
Álvaro Pardo
Pablo Musé
381
36
0
22 Nov 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Advanced Engineering Informatics (AEI), 2022
Tongkun Liu
Bing Li
Zhu Zhao
Xiaoyu Du
Bin Jiang
Leqi Geng
403
63
0
26 Oct 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
Chongyang Zhang
334
114
0
04 Jul 2022
Benchmarking Unsupervised Anomaly Detection and Localization
Ye Zheng
Xiang Wang
Yu-Hang Qi
Wei Li
Liwei Wu
241
15
0
30 May 2022
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook
Neural Networks (NN), 2022
H. Hojjati
Thi Kieu Khanh Ho
Narges Armanfard
355
83
0
10 May 2022
A Contrario multi-scale anomaly detection method for industrial quality inspection
Matías Tailanián
Pablo Musé
Álvaro Pardo
228
3
0
03 May 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
IEEE Access (IEEE Access), 2022
Yajie Cui
Zhaoxiang Liu
Kai Wang
OOD
DRL
535
94
0
24 Apr 2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
IEEE Transactions on Image Processing (IEEE TIP), 2022
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
478
206
0
01 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks
Antoine Cordier
Benjamin Missaoui
Pierre Gutierrez
311
7
0
25 Feb 2022
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Matías Tailanián
Pablo Musé
Álvaro Pardo
192
10
0
05 Oct 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
Pierre Gutierrez
Antoine Cordier
Thais Caldeira
Théophile Sautory
222
5
0
02 Jun 2021
AnomalyHop: An SSL-based Image Anomaly Localization Method
Visual Communications and Image Processing (VCIP), 2021
Kaitai Zhang
Bin Wang
Wen Wang
Fahad Sohrab
Moncef Gabbouj
C.-C. Jay Kuo
231
16
0
08 May 2021
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