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Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via
  Edge Concatenation

Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation

11 October 2023
Hye-Seong Hong
Abhishek Kumar
Dong-Gyu Lee
    AAML
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Papers citing "Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation"

2 / 2 papers shown
Title
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
64
12
0
19 Dec 2023
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
1