Crop Classification On Cropharvest Togo
Metriken
Average Accuracy
F1 Macro
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | |||
|---|---|---|---|
| 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 |
| Ensemble aggregation | 0.840 | - | A Comparative Assessment of Multi-view fusion learning for Crop Classification |
| 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 |
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