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DualDis: Dual-Branch Disentangling with Adversarial Learning

DualDis: Dual-Branch Disentangling with Adversarial Learning

Thomas Robert
Nicolas Thome
Matthieu Cord
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Papers citing "DualDis: Dual-Branch Disentangling with Adversarial Learning"

3 / 3 papers shown
Title
Learning Conditional Invariance through Cycle Consistency
Learning Conditional Invariance through Cycle Consistency
M. Samarin
V. Nesterov
Mario Wieser
Aleksander Wieczorek
S. Parbhoo
Volker Roth
39
3
0
25 Nov 2021
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
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017