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Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering

Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering

1 September 2023
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
    TTA
ArXivPDFHTML

Papers citing "Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering"

7 / 7 papers shown
Title
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
126
210
0
07 Oct 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
175
382
0
29 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
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren
Pengfei Ge
Peiyi Yang
Shuicheng Yan
106
43
0
25 Aug 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
R. He
Jiashi Feng
126
104
0
05 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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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