In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data

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Benchmark Model Rank Results
crop-classification-on-cropharvest-brazilHybrid fusion with LSTM#1Average Accuracy: 0.974F1 Macro: 0.978
crop-classification-on-cropharvest-brazilFeature fusion with LSTM#2Average Accuracy: 0.975F1 Macro: 0.979
crop-classification-on-cropharvest-togoEnsemble aggregation with GRU#1Average Accuracy: 0.842F1 Macro: 0.820
crop-classification-on-cropharvest-togoDecision fusion with GRU#3Average Accuracy: 0.825F1 Macro: 0.7952
crop-classification-on-cropharvest-kenyaRadar TS with TempCNN#4Average Accuracy: 0.676F1 Macro: 0.684
crop-classification-on-cropharvest-kenyaInput Fusion with TAE#5Average Accuracy: 0.673F1 Macro: 0.672

Rank counts only results with a code link.