Disaster Damage Classification on Street-view Bi-Temporal Images (val)
77.11AccuracyFeature-fusion ConvNext
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Feature-fusion ConvNextModel name=Feature-fusion ConvNext2025.04 | 77.11 | 77.51 | 77.1 | 76.78 | 59.39 | 82.72 | 84.44 | |
| Dual-ConvNeXt+ Cross-AttentionModel name=Dual-ConvNeXt+ Cross-Attention2025.04 | 76.91 | 77.04 | 76.91 | 76.72 | 71.08 | 72.36 | 91.37 | |
| Dual-Swin Transformer + Cross-AttentionModel name=Dual-Swin Transformer + Cross-Attention2025.04 | 76.91 | 79.7 | 76.91 | 76.15 | 51.47 | 91.97 | 74.6 | |
| Siamese ConvNeXtModel name=Siamese ConvNeXt2025.04 | 75.54 | 78.78 | 75.54 | 74.98 | 53.28 | 90.79 | 71.11 | |
| Dual-Swin TransformerModel name=Dual-Swin Transformer2025.04 | 74.17 | 74.2 | 74.17 | 74.08 | 62.69 | 75.45 | 81.33 | |
| Baseline-ConvNextModel name=Baseline-ConvNext2025.04 | 72.8 | 73.15 | 72.8 | 72.56 | 56.91 | 79.12 | 75.54 | |
| Baseline-Swin TransformerModel name=Baseline-Swin Transformer2025.04 | 66.14 | 68.89 | 66.14 | 64.81 | 39.02 | 84.34 | 57.55 |