Semi Supervised Change Detection On Whu 10

IoU

Results

Performance results of various models on this benchmark

Model Name	IoU	Paper Title
DiffMatch	83.2	SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
UniMatch	81.7	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
SemiCD	68.1	Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
C2F-SemiCD	76.33	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images

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