A feature-level fusion of RGB and thermal features, trained end-to-end on synthetic paired data, beats the DiMP baseline by 6.4% EAO and sets new state-of-the-art results on VOT-RGBT2019 and RGBT210.
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Multi-Modal Fusion for End-to-End RGB-T Tracking
A feature-level fusion of RGB and thermal features, trained end-to-end on synthetic paired data, beats the DiMP baseline by 6.4% EAO and sets new state-of-the-art results on VOT-RGBT2019 and RGBT210.