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Conditioning Latent-Space Clusters for Real-World Anomaly Classification

Conditioning Latent-Space Clusters for Real-World Anomaly Classification

18 September 2023
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
    DRL
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Papers citing "Conditioning Latent-Space Clusters for Real-World Anomaly Classification"

3 / 3 papers shown
Title
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
220
0
02 Feb 2022
Description of Corner Cases in Automated Driving: Goals and Challenges
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
43
55
0
20 Sep 2021
Interpreting Rate-Distortion of Variational Autoencoder and Using Model
  Uncertainty for Anomaly Detection
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Seonho Park
George Adosoglou
P. Pardalos
DRL
UQCV
34
16
0
05 May 2020
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