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ResearchFormerly WizWand

Fine-grained classification on Pets (Top-1 Accuracy)

85.79Top-1 Accuracyw/ LaViD
76.554878.952481.3583.7476Jun 25, 2026
Updated 4mo ago

Evaluation results

MethodLinks
w/ LaViDStudent=MNV2, Teacher=QN+R502026.0685.79
w/ LaViDStudent=RN-18, Teacher=QN+R502026.0685.09
LaViDStudent=MNV2, Teacher=Qwen2026.0684.64
LSStudent=MNV2, Teacher=RN-502026.0684.23
CRDStudent=MNV2, Teacher=LLaVA2026.0683.87
w/ LaViDStudent=SNV2, Teacher=QN+R502026.0683.85
LSStudent=RN-18, Teacher=RN-502026.0683.56
MaKDStudent=MNV2, Teacher=InternVL2026.0683.48
MLKDStudent=MNV2, Teacher=RN-502026.0683.38
LSStudent=SNV2, Teacher=RN-502026.0683.23
MLKDStudent=RN-18, Teacher=RN-502026.0682.94
LaViDStudent=RN-18, Teacher=Qwen2026.0682.29
DKDStudent=MNV2, Teacher=RN-502026.0682.26
DKDStudent=RN-18, Teacher=RN-502026.0682.23
MaKDStudent=RN-18, Teacher=InternVL2026.0682.06
CRDStudent=RN-18, Teacher=LLaVA2026.0681.8
MLKDStudent=SNV2, Teacher=RN-502026.0681.78
KDStudent=MNV2, Teacher=RN-502026.0681.69
CRDStudent=SNV2, Teacher=LLaVA2026.0681.28
LaViDStudent=SNV2, Teacher=Qwen2026.0681.19
MaKDStudent=SNV2, Teacher=InternVL2026.0681.01
FitNetStudent=MNV2, Teacher=LLaVA2026.0680.57
Ind StudentStudent=MNV2, Teacher=None2026.0680.45
RKDStudent=MNV2, Teacher=RN-502026.0679.84
DKDStudent=SNV2, Teacher=RN-502026.0679.61
KDStudent=RN-18, Teacher=RN-502026.0679.32
RKDStudent=RN-18, Teacher=RN-502026.0678.91
KDStudent=SNV2, Teacher=RN-502026.0678.74
Ind StudentStudent=SNV2, Teacher=None2026.0677.8
FitNetStudent=SNV2, Teacher=LLaVA2026.0677.78
Ind StudentStudent=RN-18, Teacher=None2026.0677.57
RKDStudent=SNV2, Teacher=RN-502026.0677.19
FitNetStudent=RN-18, Teacher=LLaVA2026.0676.91