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Fine-grained classification on Caltech101 (test)

98.26AccuracyOracle ADAPT
81.037685.508889.9894.4512Aug 21, 2025Oct 8, 2025Nov 25, 2025Jan 12, 2026Mar 1, 2026Apr 18, 2026Jun 5, 2026

Evaluation results

MethodLinks
Oracle ADAPTBP-free=true, Evaluation Protocol=Transductive2025.0898.26————
ADAPTBP-free=true, Evaluation Protocol=Transductive2025.0895.46————
ADAPTBP-free=true, Evaluation Protocol=Online2025.0894.48————
O-TPTVenue=CVPR 2025, Backbone=CLIP-ViT/B16, Framework=TPT, Prompt Template=a photo of a2026.0493.95——3.817
TPTVenue=NeurIPS 2022, Backbone=CLIP-ViT/B16, Framework=TPT, Prompt Template=a photo of a2026.0493.8——4.5116
C-TPTVenue=ICLR 2024, Backbone=CLIP-ViT/B16, Framework=TPT, Prompt Template=a photo of a2026.0493.6——4.2422
FPPVenue=CVPR 2026, Backbone=CLIP-ViT/B16, Framework=TPT, Prompt Template=a photo of a2026.0493.25——5.8526
CLIPBP-free=N/A, Evaluation Protocol=Online2025.0892.98————
CLIPVenue=ICML 2021, Backbone=CLIP-ViT/B16, Framework=TPT, Prompt Template=a photo of a2026.0492.9——5.525
MTACategory=Tuning-free, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0691.4—69.1——
CLIPCategory=Baseline, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0691.3—0.1——
MACCategory=Tuning-free, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0690.9—80.6——
R-TPTCategory=Tuning-based, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0690.6—78——
TTCCategory=Tuning-free, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0690.5—26.3——
TAPTCategory=Tuning-based, Backbone=CLIP-ViT-B/32, Attack Protocol=PGD-100 (ϵ = 4.0)2026.0690.4—38.7——
TPTBackbone=CLIP-ResNet50, Epsilon=1.0, Augmentation views=152026.0687.1—6.8——
CLIPBackbone=CLIP-ResNet50, Epsilon=1.02026.0685.7—5.2——
SS-TPTBackbone=CLIP-ResNet50, Epsilon=1.0, Augmentation views=152026.0685.6—81——
EnsembleBackbone=CLIP-ResNet50, Epsilon=1.0, Augmentation views=152026.0683.6—67.9——
R-TPTBackbone=CLIP-ResNet50, Epsilon=1.0, Augmentation views=152026.0683.5—69.3——
TTCBackbone=CLIP-ResNet50, Epsilon=1.0, Effective batch size=12026.0682—47.4——
DOCBackbone=CLIP-ResNet50, Epsilon=1.0, Effective batch size=12026.0681.7—46.7——