Image Classification on CIFAR-10 8000 images (test)
93.2AccuracyV1b var
Evaluation Results
| Method | Links | |
|---|---|---|
| V1b varSparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 93.2 | |
| V1 4-smt.Sparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 93.2 | |
| A5 4-rawSparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 93.2 | |
| V1a peakSparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 92.7 | |
| NL_sinSparsity (S)=0.5, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 92.6 | |
| PureMag4Sparsity (S)=0.5, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 92.6 | |
| RandSpl.Sparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 92.5 | |
| A5_Log6Sparsity (S)=0.5, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 92 | |
| Taylor baselineSparsity (S)=0.5, Backbone=ViT-Small, Feature class=Baseline, Statistical protocol=3 seeds2026.05 | 91.1 | |
| V1 4-smt.Sparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 86.8 | |
| RandSpl.Sparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 86.7 | |
| V1a peakSparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 86.5 | |
| V1b varSparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 85.8 | |
| A5_Log6Sparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 85.7 | |
| A5 4-rawSparsity (S)=0.6, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 85.1 | |
| NL_sinSparsity (S)=0.6, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 83.9 | |
| PureMag4Sparsity (S)=0.6, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 83.4 | |
| Taylor baselineSparsity (S)=0.6, Backbone=ViT-Small, Feature class=Baseline, Statistical protocol=3 seeds2026.05 | 75.7 | |
| A5 4-rawSparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 69.3 | |
| V1 4-smt.Sparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 68.8 | |
| V1b varSparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 66.8 | |
| NL_sinSparsity (S)=0.7, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 64.8 | |
| A5_Log6Sparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 62.9 | |
| RandSpl.Sparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 62.7 | |
| V1a peakSparsity (S)=0.7, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 62.2 | |
| Taylor baselineSparsity (S)=0.7, Backbone=ViT-Small, Feature class=Baseline, Statistical protocol=3 seeds2026.05 | 60 | |
| PureMag4Sparsity (S)=0.7, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 58 | |
| A5 4-rawSparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 40.3 | |
| V1a peakSparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 37.7 | |
| RandSpl.Sparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 37.2 | |
| V1 4-smt.Sparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 35.6 | |
| NL_sinSparsity (S)=0.8, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 35.5 | |
| A5_Log6Sparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=2 class, Statistical protocol=3 seeds2026.05 | 34.2 | |
| PureMag4Sparsity (S)=0.8, Backbone=ViT-Small, Feature class=control, Statistical protocol=3 seeds2026.05 | 33.9 | |
| V1b varSparsity (S)=0.8, Backbone=ViT-Small, Feature class=κ=0 / κ=1 class, Statistical protocol=3 seeds2026.05 | 32.7 | |
| Taylor baselineSparsity (S)=0.8, Backbone=ViT-Small, Feature class=Baseline, Statistical protocol=3 seeds2026.05 | 24.7 |