Spatial exchanging fusion network for RGB-T crowd counting

Published: 2024, Last Modified: 11 Nov 2024Neurocomputing 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Fusion network improves RGB-T CC by balancing gradient propagation across branches.•MGEM boosts under-optimized modality via enhanced gradient propagation.•SEFNet outperforms state-of-the-art methods across diverse counting tasks.
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