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Fine-grained classification on Food101 (base classes)

91.71AccuracyZS-Norm
82.173284.649187.12589.6009Feb 22, 2026

Evaluation results

MethodLinks
ZS-NormPrompt Strategy=KGCoOp2026.0291.712.2——
MaPLe2026.0290.80.78——
MBLSPrompt Strategy=MaPLe2026.0290.86.55——
PenaltyPrompt Strategy=MaPLe2026.0290.733.87——
Temp. Scal.Prompt Strategy=MaPLe2026.0290.630.71——
PenaltyPrompt Strategy=KGCoOp2026.0290.591.73——
ZS-NormPrompt Strategy=MaPLe2026.0290.571.13——
KGCoOp2026.0290.571.68——
TCPTPrompt Strategy=KGCoOp2026.0290.521.12——
Temp. Scal.Prompt Strategy=KGCoOp2026.0290.53.64——
MBLSPrompt Strategy=KGCoOp2026.0290.494.08——
TCPTPrompt Strategy=MaPLe2026.0290.430.65——
TCPTPrompt Strategy=CoOp2026.0290.380.3——
CoOp2026.0290.23.66——
Zero Shot2026.0290.11.57——
Temp. Scal.Prompt Strategy=CoOp2026.0290.10.5——
MBLSPrompt Strategy=CoOp2026.0289.7812.34——
ZS-NormPrompt Strategy=CoOp2026.0289.523.14——
PenaltyPrompt Strategy=CoOp2026.0287.925.98——
PenaltyBackbone=ViT-B/322026.0286.054.45——
ZS-NormBackbone=ViT-B/322026.0285.126——
TCPTBackbone=ViT-B/322026.0285.120.79——
CoOpBackbone=ViT-B/322026.0284.931.06——
PenaltyBackbone=RN-502026.0283.665.29——
TCPTBackbone=RN-502026.0282.770.84——
ZS-NormBackbone=RN-502026.0282.713.4——
CoOpBackbone=RN-502026.0282.541.15——
CoOpPrompt-tuning strategy=CoOp2026.02——1.723.65
KGCoOpPrompt-tuning strategy=KGCoOp2026.02——0.621.59
MaPLePrompt-tuning strategy=MaPLe2026.02——0.340.73
PenaltyPrompt-tuning strategy=CoOp2026.02——1.385.98
PenaltyPrompt-tuning strategy=MaPLe2026.02——1.113.71
PenaltyPrompt-tuning strategy=KGCoOp2026.02——0.812.44
TCPT (Ours)Prompt-tuning strategy=CoOp2026.02——0.120.21
TCPT (Ours)Prompt-tuning strategy=MaPLe2026.02——1.473.66
TCPT (Ours)Prompt-tuning strategy=KGCoOp2026.02——0.551.42
ZS-NormPrompt-tuning strategy=CoOp2026.02——0.93.14
ZS-NormPrompt-tuning strategy=MaPLe2026.02——2.2511.17
ZS-NormPrompt-tuning strategy=KGCoOp2026.02——0.641.69