Image Classification on CIFAR-100 coarse
93.24Mean-weighted F1Absolute Classification
Evaluation Results
| Method | Links | |
|---|---|---|
| Absolute ClassificationTest Encoder=ViT-B, Classifier Encoder=ViT-B2026.05 | 93.24 | |
| PARAM-WIP (Single)Test Encoder=ViT-B, Classifier Encoder=ViT-B, m=3002026.05 | 93.15 | |
| PARAM-WIP (Multi)Test Encoder=ViT-B, Classifier Encoder=ViT-B, m=3002026.05 | 92.9 | |
| PARAM-WIP (Multi)Test Encoder=ViT-B, Classifier Encoder=ViT-R50, m=3002026.05 | 91.95 | |
| PARAM-WIP (Multi)Test Encoder=ViT-B, Classifier Encoder=ViT-S, m=3002026.05 | 91.94 | |
| PARAM-WIP (Single)Test Encoder=ViT-B, Classifier Encoder=ViT-R50, m=3002026.05 | 91.77 | |
| PARAM-WIP (Single)Test Encoder=ViT-B, Classifier Encoder=ViT-S, m=3002026.05 | 91.76 | |
| PARAM-WIP (Multi)Test Encoder=ViT-B, Classifier Encoder=RexNet, m=3002026.05 | 91.63 | |
| Random-CosTest Encoder=ViT-B, Classifier Encoder=ViT-B, m=3002026.05 | 91.5 | |
| Absolute ClassificationTest Encoder=ViT-R50, Classifier Encoder=ViT-R502026.05 | 91.48 | |
| PARAM-WIP (Single)Test Encoder=ViT-R50, Classifier Encoder=ViT-R50, m=3002026.05 | 91.31 | |
| PARAM-WIP (Multi)Test Encoder=ViT-R50, Classifier Encoder=ViT-R50, m=3002026.05 | 90.79 | |
| PARAM-WIP (Single)Test Encoder=ViT-B, Classifier Encoder=RexNet, m=3002026.05 | 90.75 | |
| Absolute ClassificationTest Encoder=ViT-S, Classifier Encoder=ViT-S2026.05 | 90.26 | |
| PARAM-WIP (Single)Test Encoder=ViT-S, Classifier Encoder=ViT-S, m=3002026.05 | 90 | |
| PARAM-WIP (Single)Test Encoder=ViT-R50, Classifier Encoder=ViT-S, m=3002026.05 | 89.77 | |
| PARAM-WIP (Multi)Test Encoder=ViT-R50, Classifier Encoder=ViT-S, m=3002026.05 | 89.73 | |
| PARAM-WIP (Multi)Test Encoder=ViT-R50, Classifier Encoder=ViT-B, m=3002026.05 | 89.72 | |
| PARAM-WIP (Single)Test Encoder=ViT-R50, Classifier Encoder=ViT-B, m=3002026.05 | 89.68 | |
| PARAM-WIP (Multi)Test Encoder=ViT-S, Classifier Encoder=ViT-S, m=3002026.05 | 89.59 | |
| Random-CosTest Encoder=ViT-R50, Classifier Encoder=ViT-R50, m=3002026.05 | 89.46 | |
| PARAM-WIP (Multi)Test Encoder=ViT-R50, Classifier Encoder=RexNet, m=3002026.05 | 89.4 | |
| PARAM-WIP (Single)Test Encoder=ViT-R50, Classifier Encoder=RexNet, m=3002026.05 | 88.96 | |
| PARAM-WIP (Multi)Test Encoder=ViT-S, Classifier Encoder=ViT-R50, m=3002026.05 | 88.14 | |
| PARAM-WIP (Multi)Test Encoder=ViT-S, Classifier Encoder=RexNet, m=3002026.05 | 88.05 | |
| PARAM-WIP (Multi)Test Encoder=ViT-S, Classifier Encoder=ViT-B, m=3002026.05 | 88.03 | |
| Random-CosTest Encoder=ViT-S, Classifier Encoder=ViT-S, m=3002026.05 | 87.92 | |
| PARAM-WIP (Single)Test Encoder=ViT-S, Classifier Encoder=ViT-R50, m=3002026.05 | 87.6 | |
| PARAM-WIP (Single)Test Encoder=ViT-S, Classifier Encoder=ViT-B, m=3002026.05 | 87.27 | |
| PARAM-WIP (Single)Test Encoder=ViT-S, Classifier Encoder=RexNet, m=3002026.05 | 86.86 | |
| Random-CosTest Encoder=ViT-B, Classifier Encoder=ViT-S, m=3002026.05 | 82.28 | |
| Random-CosTest Encoder=ViT-R50, Classifier Encoder=ViT-S, m=3002026.05 | 82.25 | |
| Absolute ClassificationTest Encoder=RexNet, Classifier Encoder=RexNet2026.05 | 81.64 | |
| PARAM-WIP (Single)Test Encoder=RexNet, Classifier Encoder=RexNet, m=3002026.05 | 81.03 | |
| PARAM-WIP (Multi)Test Encoder=RexNet, Classifier Encoder=RexNet, m=3002026.05 | 80.94 | |
| Random-CosTest Encoder=ViT-B, Classifier Encoder=ViT-R50, m=3002026.05 | 80.84 | |
| Random-CosTest Encoder=ViT-R50, Classifier Encoder=ViT-B, m=3002026.05 | 80.7 | |
| PARAM-WIP (Multi)Test Encoder=RexNet, Classifier Encoder=ViT-S, m=3002026.05 | 78.64 | |
| PARAM-WIP (Multi)Test Encoder=RexNet, Classifier Encoder=ViT-R50, m=3002026.05 | 78.35 | |
| PARAM-WIP (Multi)Test Encoder=RexNet, Classifier Encoder=ViT-B, m=3002026.05 | 78.25 | |
| Random-CosTest Encoder=ViT-B, Classifier Encoder=RexNet, m=3002026.05 | 77.7 | |
| PARAM-WIP (Single)Test Encoder=RexNet, Classifier Encoder=ViT-R50, m=3002026.05 | 77.19 | |
| PARAM-WIP (Single)Test Encoder=RexNet, Classifier Encoder=ViT-S, m=3002026.05 | 76.94 | |
| Random-CosTest Encoder=RexNet, Classifier Encoder=RexNet, m=3002026.05 | 76.79 | |
| Random-CosTest Encoder=ViT-R50, Classifier Encoder=RexNet, m=3002026.05 | 76.67 | |
| PARAM-WIP (Single)Test Encoder=RexNet, Classifier Encoder=ViT-B, m=3002026.05 | 76.61 | |
| Random-CosTest Encoder=ViT-S, Classifier Encoder=ViT-R50, m=3002026.05 | 75.48 | |
| Random-CosTest Encoder=ViT-S, Classifier Encoder=ViT-B, m=3002026.05 | 75.3 | |
| Random-CosTest Encoder=ViT-S, Classifier Encoder=RexNet, m=3002026.05 | 71.11 | |
| Random-CosTest Encoder=RexNet, Classifier Encoder=ViT-S, m=3002026.05 | 56.67 | |
| Random-CosTest Encoder=RexNet, Classifier Encoder=ViT-R50, m=3002026.05 | 53.41 | |
| Random-CosTest Encoder=RexNet, Classifier Encoder=ViT-B, m=3002026.05 | 53.07 |