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Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
May 7, 2024, 4:48 a.m. | Yunfeng Li, Bo Wang, Ye Li, Zhiwen Yu, Liang Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Complementary RGB and TIR modalities enable RGB-T tracking to achieve competitive performance in challenging scenarios. Therefore, how to better fuse cross-modal features is the core issue of RGB-T tracking. Some previous methods either insufficiently fuse RGB and TIR features, or depend on intermediaries containing information from both modalities to achieve cross-modal information interaction. The former does not fully exploit the potential of using only RGB and TIR information of the template or search region for …
arxiv cs.cv feature fusion spatial tracking transformer type
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