Fine-grained Image Classification on Flowers
87.74Top-1 Accuracyw/ LaViD
Evaluation results
| Method | Links | |
|---|---|---|
| w/ LaViDStudent=MNV2, Teacher=QN+R502026.06 | 87.74 | |
| MaKDStudent=MNV2, Teacher=InternVL2026.06 | 86.11 | |
| LaViDStudent=MNV2, Teacher=Qwen2026.06 | 86.05 | |
| LSStudent=MNV2, Teacher=RN-502026.06 | 85.71 | |
| w/ LaViDStudent=SNV2, Teacher=QN+R502026.06 | 85.23 | |
| CRDStudent=MNV2, Teacher=LLaVA2026.06 | 85.21 | |
| w/ LaViDStudent=RN-18, Teacher=QN+R502026.06 | 85.05 | |
| LSStudent=SNV2, Teacher=RN-502026.06 | 83.71 | |
| FitNetStudent=MNV2, Teacher=LLaVA2026.06 | 83.46 | |
| KDStudent=MNV2, Teacher=RN-502026.06 | 83.38 | |
| Ind StudentStudent=MNV2, Teacher=None2026.06 | 83.31 | |
| LaViDStudent=SNV2, Teacher=Qwen2026.06 | 83.03 | |
| MaKDStudent=SNV2, Teacher=InternVL2026.06 | 82.69 | |
| CRDStudent=SNV2, Teacher=LLaVA2026.06 | 82.44 | |
| LSStudent=RN-18, Teacher=RN-502026.06 | 82.34 | |
| LaViDStudent=RN-18, Teacher=Qwen2026.06 | 81.34 | |
| FitNetStudent=SNV2, Teacher=LLaVA2026.06 | 81.22 | |
| Ind StudentStudent=SNV2, Teacher=None2026.06 | 81.15 | |
| CRDStudent=RN-18, Teacher=LLaVA2026.06 | 80.93 | |
| KDStudent=SNV2, Teacher=RN-502026.06 | 80.45 | |
| MaKDStudent=RN-18, Teacher=InternVL2026.06 | 80.18 | |
| MLKDStudent=MNV2, Teacher=RN-502026.06 | 79.81 | |
| RKDStudent=MNV2, Teacher=RN-502026.06 | 79.6 | |
| MLKDStudent=SNV2, Teacher=RN-502026.06 | 78.99 | |
| DKDStudent=MNV2, Teacher=RN-502026.06 | 78.85 | |
| RKDStudent=SNV2, Teacher=RN-502026.06 | 78.23 | |
| DKDStudent=SNV2, Teacher=RN-502026.06 | 77.79 | |
| MLKDStudent=RN-18, Teacher=RN-502026.06 | 76.58 | |
| FitNetStudent=RN-18, Teacher=LLaVA2026.06 | 76.47 | |
| KDStudent=RN-18, Teacher=RN-502026.06 | 76.37 | |
| DKDStudent=RN-18, Teacher=RN-502026.06 | 76.35 | |
| Ind StudentStudent=RN-18, Teacher=None2026.06 | 75.73 | |
| RKDStudent=RN-18, Teacher=RN-502026.06 | 73.82 | |
| C-TPTmode=Test-Time Adaptation2026.02 | 69.43 | |
| R-TPTmode=Test-Time Adaptation2026.02 | 69.02 | |
| TPTmode=Test-Time Adaptation2026.02 | 68.62 | |
| RLCFmode=Test-Time Adaptation2026.02 | 68.29 | |
| MTAmode=Test-Time Adaptation2026.02 | 67.72 | |
| TPSmode=Test-Time Adaptation2026.02 | 67.64 | |
| ZEROmode=Test-Time Adaptation2026.02 | 67.44 | |
| CLIPmode=Zero-shot2026.02 | 67.4 | |
| Fair Context Learning (FCL)mode=Test-Time Adaptation2026.02 | 67.36 | |
| TTLmode=Test-Time Adaptation2026.02 | 66.38 |