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.
YOLO-MS: multispectral object detection via feature interaction and self-attention guided fusion,
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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.