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Deep Industrial Image Anomaly Detection: A Survey

Deep Industrial Image Anomaly Detection: A Survey

27 January 2023
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
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Papers citing "Deep Industrial Image Anomaly Detection: A Survey"

41 / 41 papers shown
Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Yuqi Cheng
Yunkang Cao
Dongfang Wang
Nong Sang
Wenlong Li
34
1
0
12 May 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
Lei Hu
Zhiyong Gan
Ling Deng
Jinglin Liang
Lingyu Liang
Shuangping Huang
Tianshui Chen
DiffM
31
0
0
10 May 2025
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Yizhuo Yang
Jiulin Zhao
Xinhang Xu
Kun Cao
Shenghai Yuan
Lihua Xie
29
0
0
09 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Hanzhe Liang
Aoran Wang
Jie Zhou
Xin Jin
C. Gao
Jinbao Wang
26
0
0
09 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
Peijian Zeng
Feiyan Pang
Zhanbo Wang
Aimin Yang
74
0
0
28 Apr 2025
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
Yifeng Cheng
Juan Du
25
1
0
17 Apr 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
157
0
0
06 Mar 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
60
5
0
17 Feb 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
Dong Chen
Zhengqing Hu
Peiguang Fan
Yueting Zhuang
Yafei Li
Qidong Liu
Xiaoheng Jiang
Mingliang Xu
VLM
50
0
0
14 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Tongkun Liu
Bing Li
Xiao Jin
Yupeng Shi
Qiuying Li
Xiang Wei
64
0
0
03 Feb 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Qisen Cheng
Shuhui Qu
Janghwan Lee
51
4
0
17 Jan 2025
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Hanzhe Liang
Guoyang Xie
Chengbin Hou
Bingshu Wang
Can Gao
Jinbao Wang
3DPC
93
4
0
18 Dec 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
66
0
0
14 Aug 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted
  Features
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
Luc P.J. Strater
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
41
7
0
17 Jul 2024
Domain-independent detection of known anomalies
Domain-independent detection of known anomalies
Jonas Buhler
Jonas Fehrenbach
Lucas Steinmann
Christian Nauck
Marios Koulakis
28
0
0
03 Jul 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
43
6
0
29 Mar 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Yong-Jin Liu
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
129
60
0
21 Mar 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile
  Industrial Anomaly Detection
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
Chengjie Wang
Wenbing Zhu
Bin-Bin Gao
Zhenye Gan
Jianning Zhang
Zhihao Gu
Shuguang Qian
Mingang Chen
Lizhuang Ma
50
46
0
19 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Yuhu Bai
Jiangning Zhang
Yuhang Dong
Guanzhong Tian
Liang Liu
Yunkang Cao
Yabiao Wang
Chengjie Wang
36
2
0
07 Mar 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
19
10
0
07 Dec 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
32
30
0
11 Oct 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature
  Correspondence Analysis
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
Andrei-Timotei Ardelean
Tim Weyrich
39
4
0
13 Apr 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
O. Dabeer
VLM
75
186
0
26 Mar 2023
Masked Transformer for image Anomaly Localization
Masked Transformer for image Anomaly Localization
Axel De Nardin
P. Mishra
G. Foresti
C. Piciarelli
ViT
MedIm
45
15
0
27 Oct 2022
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu
Bing Li
Zhu Zhao
Xiaoyu Du
Bin Jiang
Leqi Geng
28
35
0
26 Oct 2022
Anomaly Detection Requires Better Representations
Anomaly Detection Requires Better Representations
Tal Reiss
Niv Cohen
Eliahu Horwitz
Ron Abutbul
Yedid Hoshen
OOD
AI4TS
SSL
46
21
0
19 Oct 2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly
  Detection
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
F. Khan
T. Moeslund
M. Shah
ViT
MedIm
258
61
0
25 Sep 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and
  Localization
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Chaoqin Huang
Qinwei Xu
Yanfeng Wang
Yu Wang
Ya-Qin Zhang
37
66
0
13 May 2022
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
120
116
0
01 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
117
448
0
26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
78
208
0
06 Oct 2021
A Multi-Scale A Contrario method for Unsupervised Image Anomaly
  Detection
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Matías Tailanián
Pablo Musé
Álvaro Pardo
37
8
0
05 Oct 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
118
128
0
30 Sep 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning
  Representations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
Oliver Rippel
Arnav Chavan
Chucai Lei
Dorit Merhof
44
18
0
09 Aug 2021
Contrastive Predictive Coding for Anomaly Detection
Contrastive Predictive Coding for Anomaly Detection
Puck de Haan
Sindy Löwe
UQCV
SSL
37
19
0
16 Jul 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
107
165
0
28 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and
  Localization
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
80
287
0
20 Apr 2021
Densely Nested Top-Down Flows for Salient Object Detection
Densely Nested Top-Down Flows for Salient Object Detection
Chaowei Fang
Haibin Tian
Dingwen Zhang
Qiang Zhang
Jungong Han
Junwei Han
35
72
0
18 Feb 2021
Salient Object Detection via Integrity Learning
Salient Object Detection via Integrity Learning
Mingchen Zhuge
Deng-Ping Fan
Nian Liu
Dingwen Zhang
Dong Xu
Ling Shao
AAML
60
296
0
19 Jan 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
109
115
0
13 Dec 2020
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