3 papers
cs.LG2026
Variational Rectification Inference for Learning with Noisy Labels
Haoliang Sun, Qi Wei, Lei Feng +4
Label noise has been broadly observed in real-world datasets. To mitigate the negative impact of overfitting to label noise for deep models, effective strategies (\textit{e.g.}, re…
cs.CV2026
DRFormer: A Dual-Regularized Bidirectional Transformer for Person Re-identification
Ying Shu, Pujian Zhan, Huiqi Yang +3
Both fine-grained discriminative details and global semantic features can contribute to solving person re-identification challenges, such as occlusion and pose variations. Vision f…
cs.CV2025
Learning Robust Representations via Bidirectional Transition for Visual Reinforcement Learning
Xiaobo Hu, Youfang Lin, Yue Liu +4
Visual reinforcement learning has proven effective in solving control tasks with high-dimensional observations. However, extracting reliable and generalizable representations from…