Change Detection On Levir
Metrics
F1
IoU
OA
Prcision
Recall
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | F1 | IoU | OA | Prcision | Recall |
---|---|---|---|---|---|
bifa-remote-sensing-image-change-detection | 83.96 | 72.35 | 98.69 | 83.85 | 84.06 |
hanet-a-hierarchical-attention-network-for | 77.56 | 63.34 | 98.22 | 79.70 | 75.53 |
hcgmnet-a-hierarchical-change-guiding-map | 82.37 | 70.03 | 98.57 | 82.81 | 81.94 |
changemamba-remote-sensing-change-detection | 88.39 | 79.20 | 99.06 | 89.24 | 87.57 |
cdmamba-remote-sensing-image-change-detection | 83.01 | 70.95 | 98.65 | 85.11 | 81.00 |
change-guiding-network-incorporating-change | 83.68 | 71.94 | 98.63 | 81.46 | 86.02 |
c2f-semicd-a-coarse-to-fine-semi-supervised | 79.15 | 65.50 | 98.26 | 77.19 | 81.22 |