Hyperspectral Image Classification on Grape leaves (test)
70.9Mean Test AccuracyTucker
Evaluation results
| Method | Links | |
|---|---|---|
| TuckerModel Type=Tucker, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=41k2026.05 | 70.9 | |
| CPModel Type=CP, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=41k2026.05 | 69.9 | |
| ReduceModel Type=Reduce, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=41k2026.05 | 65.5 | |
| ScratchModel Type=Scratch, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=624k2026.05 | 62.3 |