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SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And
  Reparameterization

SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization

13 February 2024
Ying Jin
Jiaqi Wang
Dahua Lin
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Papers citing "SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization"

5 / 5 papers shown
Title
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain
  Adaptation
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
Maohao Shen
Yuheng Bu
Greg Wornell
112
13
0
01 Feb 2022
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu-Lin Liu
Hengshuang Zhao
Jiaya Jia
144
308
0
19 Apr 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
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
202
783
0
26 Aug 2019
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
8,353
0
28 May 2015
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