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Deep Unsupervised Image Anomaly Detection: An Information Theoretic
  Framework

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework

9 December 2020
Fei Ye
Huangjie Zheng
Chaoqin Huang
Ya Zhang
ArXivPDFHTML

Papers citing "Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework"

2 / 2 papers shown
Title
Anomaly Detection in Automated Fibre Placement: Learning with Data
  Limitations
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
Assef Ghamisi
Todd Charter
Li Ji
M. Rivard
G. Lund
H. Najjaran
37
7
0
15 Jul 2023
Unsupervised anomaly localization in high-resolution breast scans using
  deep pluralistic image completion
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
N. Konz
Haoyu Dong
Maciej Mazurowski
27
2
0
04 May 2023
1