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A Survey on Unsupervised Anomaly Detection Algorithms for Industrial
  Images

A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images

24 April 2022
Yajie Cui
Zhaoxiang Liu
Shiguo Lian
    OOD
    DRL
ArXivPDFHTML

Papers citing "A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images"

15 / 15 papers shown
Title
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
39
0
0
30 Mar 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
89
0
0
06 Mar 2025
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with
  Robotic Observations
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
Kaichen Zhou
Yang Cao
Teawhan Kim
H. Zhao
Hao Dong
Kai Ming Ting
Ye Zhu
15
1
0
01 Oct 2024
Unsupervised Anomaly Detection Using Diffusion Trend Analysis
Unsupervised Anomaly Detection Using Diffusion Trend Analysis
Eunwoo Kim
Un Yang
Cheol Lae Roh
Stefano Ermon
DiffM
21
0
0
12 Jul 2024
Domain-independent detection of known anomalies
Domain-independent detection of known anomalies
Jonas Buhler
Jonas Fehrenbach
Lucas Steinmann
Christian Nauck
Marios Koulakis
21
0
0
03 Jul 2024
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A
  Benchmarking Study
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study
Santonu Sarkar
Shanay Mehta
Nicole Fernandes
Jyotirmoy Sarkar
Snehanshu Saha
31
2
0
11 Feb 2024
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
118
115
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
101
440
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
258
7,412
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
73
203
0
06 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
125
0
30 Sep 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
100
163
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
76
280
0
20 Apr 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
29
68
0
28 Dec 2020
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
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