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From Two Stream to One Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation
March 26, 2024, 4:48 a.m. | Yang Luo, Xiqing Guo, Hao Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Due to the complementary nature of visible light and thermal in-frared modalities, object tracking based on the fusion of visible light images and thermal images (referred to as RGB-T tracking) has received increasing attention from researchers in recent years. How to achieve more comprehensive fusion of information from the two modalities at a lower cost has been an issue that re-searchers have been exploring. Inspired by visual prompt learn-ing, we designed a novel two-stream RGB-T …
abstract arxiv attention cs.cv distillation fusion images knowledge light nature object prompt prompt learning researchers tracking type via
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