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Distillation-based fabric anomaly detection

Distillation-based fabric anomaly detection

4 January 2024
Simon Thomine
H. Snoussi
ArXivPDFHTML

Papers citing "Distillation-based fabric anomaly detection"

6 / 6 papers shown
Title
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
65
0
0
06 Mar 2025
FABLE : Fabric Anomaly Detection Automation Process
FABLE : Fabric Anomaly Detection Automation Process
Simon Thomine
H. Snoussi
Mahmoud Soua
16
5
0
16 Jun 2023
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
114
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
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
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
280
0
20 Apr 2021
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