Hyperspectral Image Classification on Avocado (test)
80.7Mean Test AccuracyScratch
Evaluation results
| Method | Links | |
|---|---|---|
| ScratchModel Type=Scratch, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=708k2026.05 | 80.7 | |
| CPModel Type=CP, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=34k2026.05 | 79.7 | |
| TuckerModel Type=Tucker, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=34k2026.05 | 78.6 | |
| ReduceModel Type=Reduce, Backbone=DenseNet121, Rank (R)=2, Number of trainable parameters=34k2026.05 | 78.4 |