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Image Classification on Caltech101 (accuracy, average accuracy)

97.3AccuracyGalLoP+Ours
38.841654.018369.19584.3717Aug 26, 2025Oct 8, 2025Nov 20, 2025Jan 3, 2026Feb 15, 2026Mar 30, 2026May 13, 2026

Evaluation results

MethodLinks
GalLoP+OursShots=42026.0597.3—
GalLoPShots=42026.0596.7—
PromptSRC+OursShots=42026.0596.6—
TCP+OursShots=42026.0596.6—
CLIP-LoRA+OursShots=42026.0596.3—
TCP*Shots=42026.0596.2—
PromptSRCShots=42026.0596.1—
MaPLeShots=42026.0596—
PLOTShots=42026.0596—
CoOpShots=42026.0595.6—
ProDAShots=42026.0595.5—
CoCoOpShots=42026.0595.2—
CLIP-LoRAShots=42026.0595.2—
LoCoOpShots=42026.0594.9—
TIP-Adapter-F+OursShots=42026.0594.6—
AXISArchitecture=ViT-B-322025.0894.47—
Co-CoOp2025.0994.43—
aTLASArchitecture=ViT-B-322025.0894.18—
KgCoOp2025.0993.92—
CoOp2025.0993.7—
CLIP-SVD2025.0993.68—
MaPLe2025.0993.53—
TIP-Adapter-FShots=42026.0593.5—
PromptSRCSource Dataset=ImageNet, Evaluation Protocol=Cross-dataset transfer (zero-shot)2025.1193.1—
CLIP2025.0992.98—
MaPLeSource Dataset=ImageNet, Evaluation Protocol=Cross-dataset transfer (zero-shot)2025.1192.86—
VisPromptNoise Type=Asymmetric Label Noise, Noise Rate=12.5%2026.0492.62—
Co-CoOpSource Dataset=ImageNet, Evaluation Protocol=Cross-dataset transfer (zero-shot)2025.1191.93—
ProGrad2025.0991.52—
JoAPRNoise Type=Symmetric Label Noise, Noise Rate=50.0%2026.0488.27—
SAIL w/ CLIPmode=Zero-shot, setting=Singular positive pair, backbone=DINOv2 and GTE-1.52026.0553.73—
FLVMIAmode=Zero-shot, setting=Singular positive pair, backbone=DINOv2 and GTE-1.52026.0553.72—
SAIL w/ SigLIPmode=Zero-shot, setting=Singular positive pair, backbone=DINOv2 and GTE-1.52026.0545.59—
CSAmode=Zero-shot, setting=Singular positive pair, backbone=DINOv2 and GTE-1.52026.0541.09—
GCENoise Type=Asymmetric Label Noise, Noise Rate=avg.2026.04—83.05