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IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

31 January 2023
Guoyang Xie
Jinbao Wang
Jiaqi Liu
Jiayi Lyu
Y. Liu
Chengjie Wang
Feng Zheng
Yaochu Jin
    VLM
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Papers citing "IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing"

17 / 17 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
Weiming Shen
Wenlong Li
24
1
0
12 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
18
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
68
0
0
28 Apr 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
Yun Peng
Xiao Lin
Nachuan Ma
Jiayuan Du
Chuangwei Liu
Chengju Liu
Qi Chen
37
3
0
17 Feb 2025
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Fractals as Pre-training Datasets for Anomaly Detection and Localization
C. Ugwu
S. Casarin
O. Lanz
22
0
0
11 May 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Y. Liu
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
124
59
0
21 Mar 2024
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Zongwei Du
Liang Gao
Weiming Shen
VLM
24
69
0
18 May 2023
Visual Anomaly Detection via Dual-Attention Transformer and
  Discriminative Flow
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
Haiming Yao
Wei Luo
Wenyong Yu
ViT
13
3
0
31 Mar 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
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
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
O. Dabeer
VLM
67
184
0
26 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
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
73
203
0
06 Oct 2021
Contrastive Predictive Coding for Anomaly Detection
Contrastive Predictive Coding for Anomaly Detection
Puck de Haan
Sindy Löwe
UQCV
SSL
19
19
0
16 Jul 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
100
160
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
73
194
0
20 Apr 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
101
114
0
13 Dec 2020
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
41
170
0
24 May 2019
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