Crop Classification On Cropharvest Togo
評価指標
Average Accuracy
F1 Macro
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Average Accuracy | F1 Macro | Paper Title | Repository |
|---|---|---|---|---|
| Ensemble aggregation with GRU | 0.842 | 0.820 | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | - |
| Decision fusion with GRU | 0.825 | 0.7952 | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | - |
| PrestoR | - | - | Lightweight, Pre-trained Transformers for Remote Sensing Timeseries | - |
| Ensemble aggregation | 0.840 | - | A Comparative Assessment of Multi-view fusion learning for Crop Classification | - |
0 of 4 row(s) selected.