GLC++: Source-Free Universal Domain Adaptation through Global-Local
Clustering and Contrastive Affinity Learning

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

21 March 2024

Florian Röhrbein

Guang Chen

Papers citing "GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning"

7 / 7 papers shown

Title
Upcycling Models under Domain and Category Shift Sanqing Qu Tianpei Zou Florian Roehrbein Cewu Lu Guang-Sheng Chen Dacheng Tao Changjun Jiang 25 39 0 13 Mar 2023
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
Decoupled Adaptation for Cross-Domain Object Detection Junguang Jiang Baixu Chen Jianmin Wang Mingsheng Long ObjD 41 42 0 06 Oct 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 23 119 0 24 Jul 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu R. He Jiashi Feng 123 104 0 05 Mar 2020
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