When Source-Free Domain Adaptation Meets Learning with Noisy Labels

31 January 2023

Papers citing "When Source-Free Domain Adaptation Meets Learning with Noisy Labels"

7 / 7 papers shown

Title
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation Xinru Meng Han Sun J. Liu Ningzhong Liu Huiyu Zhou 24 0 0 23 Apr 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 45 0 0 12 Jan 2025
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 82 0 0 20 Nov 2024
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
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 23 27 0 26 May 2022
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
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