Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation

31 January 2023

Papers citing "Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation"

9 / 9 papers shown

Title
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 21 0 0 24 Oct 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 51 209 0 27 Mar 2023
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation Yuhe Ding Lijun Sheng Jian Liang A. Zheng Ran He 47 47 0 29 May 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 183 183 0 13 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 153 212 0 07 Oct 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 191 457 0 29 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer Yunzhong Hou Liang Zheng 126 54 0 20 Apr 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 151 150 0 17 Feb 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 179 9,349 0 28 May 2015