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.
HGINet: Hierarchical graph interaction transformer with edge-indicated attention for semantic change detection
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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.