A large-small collaborative framework using FD-Mamba and CLIP-based arbitration achieves 97.63% F1 on a new farmland semantic change detection benchmark while generalizing to other datasets.
Mamba-fcs: Joint spatio-frequency feature fusion, change-guided attention, and sek in- spired loss for enhanced semantic change detection in remote sensing
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Large-Small Model Collaboration for Farmland Semantic Change Detection
A large-small collaborative framework using FD-Mamba and CLIP-based arbitration achieves 97.63% F1 on a new farmland semantic change detection benchmark while generalizing to other datasets.