Semi Supervised Change Detection On Whu 40
Metrics
F1
IoU
KC
OA
Precision
Recall
Results
Performance results of various models on this benchmark
Model Name | F1 | IoU | KC | OA | Precision | Recall | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| C2F-SemiCD | 93.03 | 86.97 | 92.74 | 99.45 | 93.20 | 92.86 | C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images | |
| SemiCD | - | 77.2 | - | - | - | - | Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images | |
| UniMatch | - | 85.1 | - | - | - | - | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | |
| UniMatch V2 | - | 88.6 | - | 99.52 | - | - | UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation |
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