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Unsupervised Domain Adaptation by Uncertain Feature Alignment

Unsupervised Domain Adaptation by Uncertain Feature Alignment

14 September 2020
Tobias Ringwald
Rainer Stiefelhagen
ArXivPDFHTML

Papers citing "Unsupervised Domain Adaptation by Uncertain Feature Alignment"

3 / 3 papers shown
Title
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for
  Unsupervised Domain Adaptation
UBR2^22S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
Tobias Ringwald
Rainer Stiefelhagen
22
0
0
22 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain
  Adaptive Object Detection
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
17
53
0
01 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1