4 papers
Patch-aware Batch Normalization for Improving Cross-domain Robustness
Lei Qi, Dongjia Zhao, Yinghuan Shi +1
Despite the significant success of deep learning in computer vision tasks, cross-domain tasks still present a challenge in which the model's performance will degrade when the train…
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu, Ning Xu, Jie Wang +1
Single-positive multi-label learning (SPMLL) is a typical weakly supervised multi-label learning problem, where each training example is annotated with only one positive label. Exi…
Generalizable Metric Network for Cross-domain Person Re-identification
Lei Qi, Ziang Liu, Yinghuan Shi +1
Person Re-identification (Re-ID) is a crucial technique for public security and has made significant progress in supervised settings. However, the cross-domain (i.e., domain genera…
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
Lei Qi, Hongpeng Yang, Yinghuan Shi +1
Domain generalization (DG) aims at learning a model on source domains to well generalize on the unseen target domain. Although it has achieved great success, most of existing metho…