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Unsupervised Discovery, Control, and Disentanglement of Semantic
  Attributes with Applications to Anomaly Detection

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection

25 February 2020
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
    DiffM
    DRL
ArXivPDFHTML

Papers citing "Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection"

4 / 4 papers shown
Title
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
32
3
0
29 Feb 2024
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
86
72
0
06 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
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