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Elsa: Energy-based learning for semi-supervised anomaly detection

Elsa: Energy-based learning for semi-supervised anomaly detection

29 March 2021
Sungwon Han
Hyeonho Song
Seungeon Lee
Sungwon Park
M. Cha
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Papers citing "Elsa: Energy-based learning for semi-supervised anomaly detection"

5 / 5 papers shown
Title
Adaptive Graph Learning from Spatial Information for Surgical Workflow
  Anticipation
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation
Francis Xiatian Zhang
Jingjing Deng
Robert Lieck
Hubert P. H. Shum
62
1
0
09 Dec 2024
Anomaly Detection via Multi-Scale Contrasted Memory
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
20
0
0
16 Nov 2022
Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
K. Nahrstedt
14
11
0
24 Jul 2022
No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
26
3
0
19 Mar 2022
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
19
19
0
24 Nov 2021
1