Semi-supervised image classification on Corel5k 10% (train)
95.77AccuracyGRaNDe
Evaluation Results
| Method | Links | |
|---|---|---|
| GRaNDeFeatures=ViT-B162026.05 | 95.77 | |
| MGCNFeatures=ViT-B162026.05 | 95.57 | |
| DGCGFeatures=ViT-B162026.05 | 95.29 | |
| WSEFFeatures=ViT-B162026.05 | 94 | |
| GRaNDeFeatures=SENet2026.05 | 93.42 | |
| GRaNDeFeatures=ResNet2026.05 | 93.25 | |
| MGCNFeatures=ResNet2026.05 | 93.08 | |
| MGCNFeatures=SENet2026.05 | 92.79 | |
| SVMFeatures=ViT-B162026.05 | 91.92 | |
| WSEFFeatures=ResNet2026.05 | 91.68 | |
| DGCGFeatures=ResNet2026.05 | 91.48 | |
| DGCGFeatures=SENet2026.05 | 90.88 | |
| OPFFeatures=ViT-B162026.05 | 90.02 | |
| GNN-LDSFeatures=SENet2026.05 | 89.95 | |
| PL+ SGDFeatures=SENet2026.05 | 89.85 | |
| PL+ SGDFeatures=ResNet2026.05 | 89.76 | |
| WSEFFeatures=SENet2026.05 | 89.74 | |
| LS+ kNNFeatures=ViT-B162026.05 | 89.63 | |
| PL+ SGDFeatures=ViT-B162026.05 | 89.07 | |
| GNN-LDSFeatures=ResNet2026.05 | 88.94 | |
| SVMFeatures=ResNet2026.05 | 88.73 | |
| GNN-LDSFeatures=ViT-B162026.05 | 88.56 | |
| LS+ ML-Perc.Features=ViT-B162026.05 | 87.68 | |
| LS+ SVMFeatures=ViT-B162026.05 | 87.59 | |
| ML-Perc.Features=ResNet2026.05 | 87.1 | |
| ML-Perc.Features=SENet2026.05 | 86.9 | |
| LS+ OPFFeatures=ViT-B162026.05 | 86.14 | |
| SVMFeatures=SENet2026.05 | 85.89 | |
| CoMatch2026.05 | 85.7 | |
| LS+ kNNFeatures=ResNet2026.05 | 83.98 | |
| OPFFeatures=ResNet2026.05 | 83.56 | |
| LS+ SVMFeatures=ResNet2026.05 | 83.26 | |
| LS+ ML-Perc.Features=ResNet2026.05 | 82.53 | |
| LS+ OPFFeatures=ResNet2026.05 | 82.32 | |
| OPFFeatures=SENet2026.05 | 81.33 | |
| ML-Perc.Features=ViT-B162026.05 | 74.41 | |
| LS+ SVMFeatures=SENet2026.05 | 72.79 | |
| LS+ ML-Perc.Features=SENet2026.05 | 72.24 | |
| LS+ OPFFeatures=SENet2026.05 | 72.2 | |
| LS+ kNNFeatures=SENet2026.05 | 72.16 |