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Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation

Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation

15 December 2022
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
    TTA
    AI4CE
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Papers citing "Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation"

4 / 4 papers shown
Title
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And
  Reparameterization
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
Ying Jin
Jiaqi Wang
Dahua Lin
33
2
0
13 Feb 2024
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
18
4
0
05 Dec 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
27
47
0
07 Mar 2023
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
128
249
0
14 Dec 2020
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