Fine-grained classification on Caltech
85.01Top-1 Accuracyw/ LaViD
Evaluation Results
| Method | Links | |
|---|---|---|
| w/ LaViDStudent=MNV2, Teacher=QN+R502026.06 | 85.01 | |
| LSStudent=MNV2, Teacher=RN-502026.06 | 84.38 | |
| LaViDStudent=MNV2, Teacher=Qwen2026.06 | 84.22 | |
| w/ LaViDStudent=RN-18, Teacher=QN+R502026.06 | 84.17 | |
| LSStudent=RN-18, Teacher=RN-502026.06 | 83.5 | |
| LSStudent=SNV2, Teacher=RN-502026.06 | 82.57 | |
| MaKDStudent=MNV2, Teacher=InternVL2026.06 | 82.46 | |
| FitNetStudent=MNV2, Teacher=LLaVA2026.06 | 82.27 | |
| Ind StudentStudent=MNV2, Teacher=None2026.06 | 81.92 | |
| KDStudent=MNV2, Teacher=RN-502026.06 | 81.65 | |
| MLKDStudent=MNV2, Teacher=RN-502026.06 | 81.64 | |
| LaViDStudent=RN-18, Teacher=Qwen2026.06 | 81.51 | |
| w/ LaViDStudent=SNV2, Teacher=QN+R502026.06 | 81.31 | |
| MLKDStudent=SNV2, Teacher=RN-502026.06 | 81.18 | |
| DKDStudent=MNV2, Teacher=RN-502026.06 | 81.06 | |
| CRDStudent=RN-18, Teacher=LLaVA2026.06 | 80.83 | |
| RKDStudent=MNV2, Teacher=RN-502026.06 | 80.82 | |
| LaViDStudent=SNV2, Teacher=Qwen2026.06 | 80.78 | |
| MLKDStudent=RN-18, Teacher=RN-502026.06 | 80.66 | |
| DKDStudent=SNV2, Teacher=RN-502026.06 | 80.63 | |
| CRDStudent=MNV2, Teacher=LLaVA2026.06 | 80.28 | |
| KDStudent=RN-18, Teacher=RN-502026.06 | 80.07 | |
| DKDStudent=RN-18, Teacher=RN-502026.06 | 80.02 | |
| MaKDStudent=RN-18, Teacher=InternVL2026.06 | 79.91 | |
| MaKDStudent=SNV2, Teacher=InternVL2026.06 | 79.84 | |
| KDStudent=SNV2, Teacher=RN-502026.06 | 79.54 | |
| FitNetStudent=SNV2, Teacher=LLaVA2026.06 | 79.39 | |
| Ind StudentStudent=SNV2, Teacher=None2026.06 | 78.94 | |
| FitNetStudent=RN-18, Teacher=LLaVA2026.06 | 78.87 | |
| Ind StudentStudent=RN-18, Teacher=None2026.06 | 78.65 | |
| RKDStudent=RN-18, Teacher=RN-502026.06 | 78.45 | |
| RKDStudent=SNV2, Teacher=RN-502026.06 | 78.3 | |
| CRDStudent=SNV2, Teacher=LLaVA2026.06 | 77.95 |