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Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation

Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation

3 April 2023
Suho Lee
SeungWon Seo
Jihyo Kim
Yejin Lee
Sangheum Hwang
ArXivPDFHTML

Papers citing "Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation"

6 / 6 papers shown
Title
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
120
86
0
31 Dec 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang
Li Shen
Wanyue Zhang
Chuan-Sheng Foo
TTA
31
17
0
30 May 2022
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
130
150
0
17 Feb 2021
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
Unsupervised Domain Adaptation in the Dissimilarity Space for Person
  Re-identification
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
Djebril Mekhazni
Amran Bhuiyan
G. Ekladious
Eric Granger
OOD
60
92
0
27 Jul 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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