Semi Supervised Change Detection On Levir Cd 1

IoU

Results

Performance results of various models on this benchmark

		Paper Title
UniMatch V2	83.8	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
C2F-SemiCD	83.15	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
DiffMatch	82.6	SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
UniMatch	82	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
SemiCD	75.5	Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

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