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Fine-grained Visual Classification on Oxford-IIIT Pet (test)
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88.97
Top-1 Accuracy
PAND
83.874
85.197
86.52
87.843
Feb 8, 2026
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
PAND
Student=ResNet-18
2026.02
88.97
VL2Lite
Student=ResNet-18
2026.02
88.56
PAND
Student=MobileNet-V2
2026.02
88.28
VL2Lite
Student=MobileNet-V2
2026.02
87.55
RKD
Student=ResNet-18
2026.02
86.94
KD
Student=ResNet-18
2026.02
86.74
RKD
Student=MobileNet-V2
2026.02
86.56
KD
Student=MobileNet-V2
2026.02
86.07
w/o KD
Student=ResNet-18
2026.02
84.94
w/o KD
Student=MobileNet-V2
2026.02
84.07
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