Semi Supervised Change Detection On Whu 5
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F1
IoU
KC
OA
Precision
Recall
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | F1 | IoU | KC | OA | Precision | Recall | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| C2F-SemiCD | 85.63 | 74.87 | 85.04 | 98.87 | 86.51 | 84.77 | C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images | |
| UniMatch | - | 80.2 | - | - | - | - | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | |
| DiffMatch | - | 81.8 | - | - | - | - | SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector | |
| SemiCD | - | 65.8 | - | - | - | - | Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images |
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