PyramidMamba: Rethinking pyramid feature fusion with selective space state model for semantic segmentation of remote sensing imagery
Abstract: Highlights•A Mamba-based decoder for efficient and accurate semantic segmentation.•Dense spatial pyramid pooling improves multi-scale contexts.•Pyramid fusion Mamba reduces semantic redundancy in multi-scale feature fusion.•Competitive performances compared to state-of-the-art methods.
External IDs:doi:10.1016/j.jag.2025.104884
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