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2408.07490
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Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
14 August 2024
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
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Papers citing
"Attention-Guided Perturbation for Unsupervised Image Anomaly Detection"
7 / 7 papers shown
Title
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
66
219
0
27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
O. Dabeer
VLM
64
92
0
26 Mar 2023
Anomaly Detection Requires Better Representations
Tal Reiss
Niv Cohen
Eliahu Horwitz
Ron Abutbul
Yedid Hoshen
OOD
AI4TS
SSL
39
21
0
19 Oct 2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
110
114
0
01 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
299
0
26 Jan 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
112
82
0
30 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
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