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most citedFrom Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training

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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…