Change Detection On S2Looking
Metrics
F1
F1-Score
IoU
KC
OA
Precision
Recall
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | F1 | F1-Score | IoU | KC | OA | Precision | Recall |
|---|---|---|---|---|---|---|---|
| hcgmnet-a-hierarchical-change-guiding-map | 63.87 | 63.87 | 46.91 | 63.48 | 99.22 | 72.51 | 57.06 |
| bd-msa-body-decouple-vhr-remote-sensing-image | - | 64.08 | 47.14 | - | - | - | - |
| lsknet-a-foundation-lightweight-backbone-for | - | 67.52 | 50.96 | - | - | 71.90 | 63.64 |
| change-guiding-network-incorporating-change | - | 64.33 | 47.41 | 63.93 | 99.20 | 70.18 | 59.38 |
| changer-feature-interaction-is-what-you-need | - | 66.20 | - | - | - | - | - |
| hanet-a-hierarchical-attention-network-for | 58.54 | 58.54 | 41.38 | 58.05 | 99.04 | 61.38 | 55.94 |
| scalable-multi-temporal-remote-sensing-change-1 | - | 67.9 | - | - | - | - | - |
| scalable-multi-temporal-remote-sensing-change-1 | - | 67.1 | - | - | - | - | - |
| c2f-semicd-a-coarse-to-fine-semi-supervised | 62.83 | 62.83 | 45.80 | 62.44 | 99.22 | 74.84 | 54.14 |