Fine-grained classification on Pets (Top-1 Accuracy)
85.79Top-1 Accuracyw/ LaViD
Evaluation Results
| Method | Links | |
|---|---|---|
| w/ LaViDStudent=MNV2, Teacher=QN+R502026.06 | 85.79 | |
| w/ LaViDStudent=RN-18, Teacher=QN+R502026.06 | 85.09 | |
| LaViDStudent=MNV2, Teacher=Qwen2026.06 | 84.64 | |
| LSStudent=MNV2, Teacher=RN-502026.06 | 84.23 | |
| CRDStudent=MNV2, Teacher=LLaVA2026.06 | 83.87 | |
| w/ LaViDStudent=SNV2, Teacher=QN+R502026.06 | 83.85 | |
| LSStudent=RN-18, Teacher=RN-502026.06 | 83.56 | |
| MaKDStudent=MNV2, Teacher=InternVL2026.06 | 83.48 | |
| MLKDStudent=MNV2, Teacher=RN-502026.06 | 83.38 | |
| LSStudent=SNV2, Teacher=RN-502026.06 | 83.23 | |
| MLKDStudent=RN-18, Teacher=RN-502026.06 | 82.94 | |
| LaViDStudent=RN-18, Teacher=Qwen2026.06 | 82.29 | |
| DKDStudent=MNV2, Teacher=RN-502026.06 | 82.26 | |
| DKDStudent=RN-18, Teacher=RN-502026.06 | 82.23 | |
| MaKDStudent=RN-18, Teacher=InternVL2026.06 | 82.06 | |
| CRDStudent=RN-18, Teacher=LLaVA2026.06 | 81.8 | |
| MLKDStudent=SNV2, Teacher=RN-502026.06 | 81.78 | |
| KDStudent=MNV2, Teacher=RN-502026.06 | 81.69 | |
| CRDStudent=SNV2, Teacher=LLaVA2026.06 | 81.28 | |
| LaViDStudent=SNV2, Teacher=Qwen2026.06 | 81.19 | |
| MaKDStudent=SNV2, Teacher=InternVL2026.06 | 81.01 | |
| FitNetStudent=MNV2, Teacher=LLaVA2026.06 | 80.57 | |
| Ind StudentStudent=MNV2, Teacher=None2026.06 | 80.45 | |
| RKDStudent=MNV2, Teacher=RN-502026.06 | 79.84 | |
| DKDStudent=SNV2, Teacher=RN-502026.06 | 79.61 | |
| KDStudent=RN-18, Teacher=RN-502026.06 | 79.32 | |
| RKDStudent=RN-18, Teacher=RN-502026.06 | 78.91 | |
| KDStudent=SNV2, Teacher=RN-502026.06 | 78.74 | |
| Ind StudentStudent=SNV2, Teacher=None2026.06 | 77.8 | |
| FitNetStudent=SNV2, Teacher=LLaVA2026.06 | 77.78 | |
| Ind StudentStudent=RN-18, Teacher=None2026.06 | 77.57 | |
| RKDStudent=SNV2, Teacher=RN-502026.06 | 77.19 | |
| FitNetStudent=RN-18, Teacher=LLaVA2026.06 | 76.91 |