Feature-level fusion (sum)

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous3 results

Crop ClassificationonCropHarvest - Kenya
AUC· 2023-08-10
0.716
best: 0.718 (Gated Fusion (Feature-level))
A Comparative Assessment of Multi-view fusion learning for Crop Classification arXiv:2308.05407
Crop ClassificationonCropHarvest - Kenya
Average Accuracy· 2023-08-10
0.63
best: 0.676 (Radar TS with TempCNN)
A Comparative Assessment of Multi-view fusion learning for Crop Classification arXiv:2308.05407
Crop ClassificationonCropHarvest - Kenya
Target Binary F1· 2023-08-10
0.794
best: 0.861 (PrestoR - no DW)
A Comparative Assessment of Multi-view fusion learning for Crop Classification arXiv:2308.05407