Remote Sensing Classification on Trento (test)
99.95Accuracy (Apples)MMLGNet
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| MMLGNetPatch size=11x11, Feature Embedding Dimension=512, Backbone=CNN-based modality-specific encoders2026.01 | 99.95 | 99.68 | 100 | 99.89 | 99.81 | 95.74 | 99.42 | 99.18 | 0.9922 | |
| FusAtNetPatch size=11x112026.01 | 98.99 | 99.31 | 95.87 | 99.93 | 99.56 | 91.23 | 99.06 | 98.48 | 0.9879 | |
| TB-CNNPatch size=11x112026.01 | 98.07 | 95.21 | 93.32 | 99.93 | 98.78 | 89.98 | 97.92 | 96.19 | 0.9681 | |
| ELMPatch size=11x112026.01 | 95.81 | 96.97 | 96.66 | 99.39 | 82.24 | 86.52 | 91.32 | 92.93 | 0.9042 | |
| SVMPatch size=11x112026.01 | 85.49 | 89.76 | 59.56 | 97.42 | 93.85 | 89.96 | 92.3 | 86.01 | 0.8971 |