DSAFormer applies spatial and channel sparse multi-head cross-attention plus a learnable fusion block to reduce redundant token interactions and improve multispectral object detection on four public datasets.
Multispectral state-space feature fusion: Bridging shared and cross-parametric inter- actions for object detection,
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Dual Sparse Aggregation Transformer for Multispectral Object Detection
DSAFormer applies spatial and channel sparse multi-head cross-attention plus a learnable fusion block to reduce redundant token interactions and improve multispectral object detection on four public datasets.