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No Shifted Augmentations (NSA): compact distributions for robust
  self-supervised Anomaly Detection

No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection

19 March 2022
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
    OODD
    OOD
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Papers citing "No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection"

3 / 3 papers shown
Title
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution
  Detection
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
32
1
0
04 Jul 2024
Set Features for Fine-grained Anomaly Detection
Set Features for Fine-grained Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
AI4TS
13
15
0
23 Feb 2023
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
57
48
0
27 Sep 2021
1