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AFter: Attention-based Fusion Router for RGBT Tracking
May 7, 2024, 4:47 a.m. | Andong Lu, Wanyu Wang, Chenglong Li, Jin Tang, Bin Luo
cs.CV updates on arXiv.org arxiv.org
Abstract: Multi-modal feature fusion as a core investigative component of RGBT tracking emerges numerous fusion studies in recent years. However, existing RGBT tracking methods widely adopt fixed fusion structures to integrate multi-modal feature, which are hard to handle various challenges in dynamic scenarios. To address this problem, this work presents a novel \emph{A}ttention-based \emph{F}usion rou\emph{ter} called AFter, which optimizes the fusion structure to adapt to the dynamic challenging scenarios, for robust RGBT tracking. In particular, we …
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