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Benchmarks
Image Classification on Caltech101 Base classes
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99.23
Accuracy
FARL
96.7444
97.3897
98.035
98.6803
Dec 4, 2025
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
FARL
Protocol=Base-to-novel...
2025.12
99.23
ProVP
Protocol=Base-to-novel...
2025.12
98.92
MMRL
Protocol=Base-to-novel...
2025.12
98.83
PLOT
Protocol=Base-to-novel...
2025.12
98.53
MMA
Protocol=Base-to-novel...
2025.12
98.4
TCP
Protocol=Base-to-novel...
2025.12
98.23
MetaPrompt
Protocol=Base-to-novel...
2025.12
98.13
CoCoOp
Protocol=Base-to-novel...
2025.12
97.96
CoOp
Protocol=Base-to-novel...
2025.12
97.8
MaPLe
Protocol=Base-to-novel...
2025.12
97.74
KgCoOp
Protocol=Base-to-novel...
2025.12
97.72
CLIP
Protocol=Base-to-novel...
2025.12
96.84
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