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Benchmarks
Fine-grained Image Classification on OxfordPets Base classes
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96.1
Accuracy
FARL
90.9728
92.3039
93.635
94.9661
Dec 4, 2025
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
FARL
Protocol=Base-to-novel...
2025.12
96.1
ProVP
Protocol=Base-to-novel...
2025.12
95.87
MMRL
Protocol=Base-to-novel...
2025.12
95.87
MetaPrompt
Protocol=Base-to-novel...
2025.12
95.53
MaPLe
Protocol=Base-to-novel...
2025.12
95.43
MMA
Protocol=Base-to-novel...
2025.12
95.4
CoCoOp
Protocol=Base-to-novel...
2025.12
95.2
TCP
Protocol=Base-to-novel...
2025.12
94.67
KgCoOp
Protocol=Base-to-novel...
2025.12
94.65
PLOT
Protocol=Base-to-novel...
2025.12
94.5
CoOp
Protocol=Base-to-novel...
2025.12
94.47
CLIP
Protocol=Base-to-novel...
2025.12
91.17
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