16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 16 cited
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Yucheng Yang, Xiang Gu, Jian Sun
Universal domain adaptation (UniDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain without requiring the same label sets of both domains. The…
cs.CV2024
Adversarial Reweighting with -Power Maximization for Domain Adaptation
Xiang Gu, Xi Yu, Yan Yang +2
The practical Domain Adaptation (DA) tasks, e.g., Partial DA (PDA), open-set DA, universal DA, and test-time adaptation, have gained increasing attention in the machine learning co…
cs.CV2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
Liwei Yang, Xiang Gu, Jian Sun
Deep networks trained on the source domain show degraded performance when tested on unseen target domain data. To enhance the model's generalization ability, most existing domain g…