Classification on CIFAR-10 (F1, ACC)
94.71AccuracyCM-GLasso
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CM-GLasso2026.04 | 94.71 | 93.09 | |
| PCA-CNN-DenseNet2026.04 | 89.82 | — | |
| Nddr-cnn2026.04 | 88.53 | — | |
| self-defined MTL2026.04 | 84.94 | — | |
| OnPro-0.5k2026.04 | 72.6 | — |
| Method | Links | ||
|---|---|---|---|
| CM-GLasso2026.04 | 94.71 | 93.09 | |
| PCA-CNN-DenseNet2026.04 | 89.82 | — | |
| Nddr-cnn2026.04 | 88.53 | — | |
| self-defined MTL2026.04 | 84.94 | — | |
| OnPro-0.5k2026.04 | 72.6 | — |