24 citations · 45 across the 18 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
Revisiting Mutual Information Maximization for Generalized Category Discovery
Zhaorui Tan, Chengrui Zhang, Xi Yang +2
Generalized category discovery presents a challenge in a realistic scenario, which requires the model's generalization ability to recognize unlabeled samples from known and unknown…
cs.CV2024
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Kai Yao, Zhaorui Tan, Zixian Su +3
Open compound domain adaptation (OCDA) aims to transfer knowledge from a labeled source domain to a mix of unlabeled homogeneous compound target domains while generalizing to open…
cs.LG2024
Rethinking Multi-domain Generalization with A General Learning Objective
Zhaorui Tan, Xi Yang, Kaizhu Huang
Multi-domain generalization (mDG) is universally aimed to minimize the discrepancy between training and testing distributions to enhance marginal-to-label distribution mapping. How…