Change Detection On Sysu Cd
Metrics
F1
IoU
KC
OA
Precision
Recall
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1 | IoU | KC | OA | Precision | Recall |
|---|---|---|---|---|---|---|
| hcgmnet-a-hierarchical-change-guiding-map | 79.76 | 66.33 | 74.11 | 91.12 | 86.28 | 74.15 |
| c2f-semicd-a-coarse-to-fine-semi-supervised | 77.97 | 63.89 | 70.87 | 89.25 | 75.44 | 80.67 |
| hanet-a-hierarchical-attention-network-for | 77.41 | 63.14 | 70.59 | 89.52 | 78.71 | 76.14 |
| dsamnet-a-deeply-supervised-attention-metric | 78.18 | 64.18 | - | - | 74.81 | 81.86 |
| change-guiding-network-incorporating-change | 79.92 | 66.55 | 74.31 | 91.19 | 86.37 | 74.37 |
| maskcd-a-remote-sensing-change-detection | 82.17 | - | - | 92.04 | 87.07 | 77.78 |
| relating-cnn-transformer-fusion-network-for | 83.01 | 70.96 | - | - | 84.33 | 81.73 |
| rethinking-remote-sensing-change-detection | 82.84 | 70.70 | - | - | 78.85 | 87.25 |
| changemamba-remote-sensing-change-detection | 83.11 | 71.10 | 78.13 | 92.30 | 86.11 | 80.31 |