Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

9 May 2022

Papers citing "Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation"

6 / 6 papers shown

Title
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 48 1 0 03 Jun 2024
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
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Qi Tian 30 18 0 13 Jul 2021
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 Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 31 119 0 24 Jul 2020