Tree Species Classification on RSTree
92.92AccuracyEKDC-Net
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| EKDC-NetBackbone=Swin-Base, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 92.92 | 88.98 | 73.88 | 77.97 | 93.19 | 92.92 | 92.66 | |
| Swin-BaseBackbone=Swin-Base, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 92.01 | 83.98 | 73.33 | 75.76 | 92.25 | 92.01 | 91.77 | |
| EKDC-NetBackbone=ViT-Base, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 91.01 | 87.33 | 71.58 | 74.36 | 91.6 | 91.01 | 90.66 | |
| EKDC-NetBackbone=ResNet-50, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 90.19 | 79.02 | 73.67 | 73.63 | 90.87 | 90.19 | 90.1 | |
| ViT-BaseBackbone=ViT-Base, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 89.46 | 83.04 | 65.43 | 68.73 | 90.09 | 89.46 | 89.11 | |
| ResNet-50Backbone=ResNet-50, Method Category=Standard Backbones, Training Protocol=retrained2026.01 | 88.01 | 68.59 | 64.84 | 62.2 | 88.26 | 88.01 | 87.62 | |
| EKDC-NetMethod Category=FGVC Method, Training Protocol=retrained, Base Context=CGL2026.01 | 87.83 | 55.49 | 49.68 | 49.63 | 86.51 | 87.83 | 86.74 | |
| CGLMethod Category=FGVC Method, Training Protocol=retrained2026.01 | 65.67 | 5.71 | 7.92 | 6.61 | 48.12 | 65.67 | 55.32 |