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Found 3 papers, 3 papers with code
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
To solve the second problem, a dual-direction short connection fusion module is used to optimize the output features of HRFormer, thereby enhancing the detailed representation of objects at the output level.
RGB-T Multi-Modal Crowd Counting Based on Transformer
To better excavate multi-modal information, we use count-guided multi-modal fusion and modal-guided count enhancement to achieve the impressive performance.
SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
It is driven by Swin Transformer to extract the hierarchical features, boosted by attention mechanism to bridge the gap between two modalities, and guided by edge information to sharp the contour of salient object.
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