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A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

29 January 2024
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Nong Sang
ArXivPDFHTML

Papers citing "A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect"

23 / 23 papers shown
Title
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang
Mingxiu Cai
Haoran Wang
Gaochang Wu
Tianyou Chai
Xiatian Zhu
92
0
0
02 May 2025
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
Haoyang He
Yuhu Bai
Jiangning Zhang
Qingdong He
Hongxu Chen
Zhenye Gan
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Lei Xie
Mamba
116
42
0
09 Apr 2024
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
Xiaohao Xu
Yunkang Cao
Huaxin Zhang
Nong Sang
Xiaonan Huang
VLM
101
11
0
17 Mar 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial
  Anomaly Detection
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
70
18
0
21 Dec 2023
Sequential Modeling Enables Scalable Learning for Large Vision Models
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai
Xinyang Geng
K. Mangalam
Amir Bar
Alan Yuille
Trevor Darrell
Jitendra Malik
Alexei A. Efros
MLLM
VLM
68
164
0
01 Dec 2023
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
74
27
0
15 May 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Yuxuan Duan
Y. Hong
Li Niu
Liqing Zhang
78
59
0
04 Mar 2023
Collaborative Discrepancy Optimization for Reliable Image Anomaly
  Localization
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Yunkang Cao
Xiaohao Xu
Zhaoge Liu
Nong Sang
80
78
0
17 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
148
4,113
1
10 Feb 2023
Deep Industrial Image Anomaly Detection: A Survey
Deep Industrial Image Anomaly Detection: A Survey
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
83
185
0
27 Jan 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLM
VLM
254
566
0
06 Oct 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial
  Images: A Survey
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao
Xinyi Gong
X. Zhang
Shaohua Yan
Chandranath Adak
UQCV
59
139
0
21 Jul 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya Zhang
Michael W. Spratling
Yanfeng Wang
74
145
0
15 Jul 2022
Multimodal Learning with Transformers: A Survey
Multimodal Learning with Transformers: A Survey
Peng Xu
Xiatian Zhu
David Clifton
ViT
153
566
0
13 Jun 2022
Anomaly Detection in Autonomous Driving: A Survey
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
64
121
0
17 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
67
113
0
28 Mar 2022
Back to the Feature: Classical 3D Features are (Almost) All You Need for
  3D Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Eliahu Horwitz
Yedid Hoshen
96
54
0
10 Mar 2022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
Paul Bergmann
David Sattlegger
3DPC
66
59
0
23 Feb 2022
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via
  Conditional Normalizing Flows
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis A. Gudovskiy
Shun Ishizaka
Kazuki Kozuka
109
401
0
27 Jul 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
88
910
0
15 Jun 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
106
983
0
10 Jun 2021
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
109
797
0
24 Sep 2020
Safe Robot Navigation via Multi-Modal Anomaly Detection
Safe Robot Navigation via Multi-Modal Anomaly Detection
Lorenz Wellhausen
René Ranftl
Marco Hutter
61
77
0
22 Jan 2020
1