CSAP computes attention at the deepest scale and propagates the maps to shallower stages, bypassing per-scale query-key computations to cut decoder FLOPs while preserving multi-scale performance and beating SegNeXt-Tiny on ADE20K, Cityscapes, and COCO-Stuff.
SegNet: A deep convolutional encoder-decoder architecture forimagesegmentation.IEEETransactionsonPatternAnal- ysis and Machine Intelligence, 39(12):2481–2495
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Cross-Stage Attention Propagation for Efficient Semantic Segmentation
CSAP computes attention at the deepest scale and propagates the maps to shallower stages, bypassing per-scale query-key computations to cut decoder FLOPs while preserving multi-scale performance and beating SegNeXt-Tiny on ADE20K, Cityscapes, and COCO-Stuff.