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GeneralAD: Anomaly Detection Across Domains by Attending to Distorted
  Features

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

17 July 2024
Luc P.J. Strater
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
ArXiv (abs)PDFHTML

Papers citing "GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features"

10 / 10 papers shown
Title
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
Andrea Testa
Søren Hauberg
Tamim Asfour
Leonel Rozo
125
2
0
10 Nov 2025
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Guangyao Zhai
Yue Zhou
Xinyan Deng
Lars Heckler
Nassir Navab
Benjamin Busam
112
0
0
02 Oct 2025
Normal-Abnormal Guided Generalist Anomaly Detection
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang
Xiaolei Wang
Yizheng Gong
Jimin Xiao
170
0
0
01 Oct 2025
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
Po-Han Huang
Jeng-Lin Li
Po-Hsuan Huang
Ming-Ching Chang
Wei-Chao Chen
VLM
69
0
0
30 Sep 2025
TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
Jiawei Liu
Jiahe Hou
Wei Wang
Jinsong Du
Yang Cong
Huijie Fan
128
0
0
29 Aug 2025
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
Hossein Mirzaei
Zeinab Sadat Taghavi
Sepehr Rezaee
Masoud Hadi
Moein Madadi
Mackenzie W. Mathis
AAML
144
0
0
30 Jul 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo AnomaliesComputer Vision and Pattern Recognition (CVPR), 2025
Mojtaba Nafez
Amirhossein Koochakian
Arad Maleki
Jafar Habibi
M. Rohban
AAML
281
2
0
10 Jun 2025
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
Alireza Salehi
Mohammadreza Salehi
Reshad Hosseini
Cees G. M. Snoek
Makoto Yamada
Mohammad Sabokrou
VLM
280
2
0
15 Apr 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
340
0
0
28 Feb 2025
Redefining Normal: A Novel Object-Level Approach for Multi-Object
  Novelty Detection
Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty DetectionAsian Conference on Computer Vision (ACCV), 2024
Mohammadreza Salehi
Nikolaos Apostolikas
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
ObjD
333
0
0
15 Dec 2024
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