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Image Classification on ImageNet-Sketch (test)

0.7337Top-1 AccPaLI-X
0.2559240.3799620.5040.628038Apr 26, 2022Oct 24, 2022Apr 23, 2023Oct 21, 2023Apr 19, 2024Oct 17, 2024Apr 17, 2025

Evaluation results

MethodLinks
PaLI-XResolution=756, Evaluation Protocol=fine-tuned2023.050.7337————
PaLI-XResolution=224, Evaluation Protocol=fine-tuned2023.050.7256————
PaLI-17BResolution=224, Evaluation Protocol=fine-tuned2023.050.7121————
RobustViTBackbone=AR-L, Annotated segmentation=true2022.060.5420.758———
RobustViTBackbone=AR-L, Annotated segmentation=false2022.060.5410.758———
DPEBackbone=CLIP-ViT-B/162025.010.5226————
FGABackbone=CLIP-ViT-B/162025.010.5181————
OriginalBackbone=AR-L, Annotated segmentation=false2022.060.5180.736———
TDABackbone=CLIP-ViT-B/162025.010.5054————
PromptAlign⋆Backbone=CLIP-ViT-B/162025.010.5023————
MTA+CoOpBackbone=CLIP-ViT-B/162025.010.4996————
DiffTPT+CoOpBackbone=CLIP-ViT-B/162025.010.495————
TPT+CoOpBackbone=CLIP-ViT-B/162025.010.494————
STSS+CoOpBackbone=CLIP-ViT-B/162025.010.4936————
SAPT+CoOpBackbone=CLIP-ViT-B/162025.010.4931————
Tip-AdapterBackbone=CLIP-ViT-B/162025.010.4888————
CoCoOpBackbone=CLIP-ViT-B/162025.010.4875————
SAR†+CoOpBackbone=CLIP-ViT-B/16, Evaluation Protocol=single-sample setting2025.010.4865————
C-TPT+CoOpBackbone=CLIP-ViT-B/162025.010.4863————
MTABackbone=CLIP-ViT-B/162025.010.4858————
ZERO+CoOpBackbone=CLIP-ViT-B/162025.010.4852————
C-TPTBackbone=CLIP-ViT-B/162025.010.485————
ZEROBackbone=CLIP-ViT-B/162025.010.4829————
CLIP-ViT-B/16Backbone=CLIP-ViT-B/162025.010.4824————
CoOpBackbone=CLIP-ViT-B/162025.010.4799————
DiffTPTBackbone=CLIP-ViT-B/162025.010.468————
TPTBackbone=CLIP-ViT-B/162025.010.464————
RobustViTBackbone=AR-B, Annotated segmentation=false2022.060.4470.674———
RobustViTBackbone=AR-B, Annotated segmentation=true2022.060.4460.674———
APE + FD-AlignShots=16, Base Method=APE, Alignment=FD-Align2023.100.4423————
APE-T + FD-AlignShots=16, Base Method=APE-T, Alignment=FD-Align2023.100.4404————
Tip + FD-AlignShots=16, Base Method=Tip-adapter, Alignment=FD-Align2023.100.4384————
Tip-F + FD-AlignShots=16, Base Method=Tip-adapter-F, Alignment=FD-Align2023.100.4367————
FT + FD-AlignShots=16, Strategy=Fully Fine-tuning, Alignment=FD-Align2023.100.435————
APEShots=16, Base Method=APE2023.100.4328————
APE-TShots=16, Base Method=APE-T2023.100.4323————
Right for the Right Reason (RRR)Backbone=AR-B, Annotated segmentation=true2022.060.4320.657———
OriginalBackbone=AR-B, Annotated segmentation=false2022.060.4310.657———
GradMaskBackbone=AR-B, Annotated segmentation=true2022.060.4310.657———
Tip-FShots=16, Base Method=Tip-adapter-F2023.100.4254————
TipShots=16, Base Method=Tip-adapter2023.100.4248————
CLIPZero-shot=true2023.100.4231————
FTShots=16, Strategy=Fully Fine-tuning2023.100.4224————
RobustViTBackbone=ViT-L, Annotated segmentation=false2022.060.4180.648———
CLIP-RefineZero-shot=true2025.040.4146————
RobustViTBackbone=ViT-L, Annotated segmentation=true2022.060.4120.643———
OriginalBackbone=ViT-L, Annotated segmentation=false2022.060.4040.634———
Self-KDZero-shot=true2025.040.3852————
Pre-trainedZero-shot=true2025.040.3838————
ConvNeXt-SNumber of Parameters=50.0M, FLOPs=8.7G2023.030.371————
NEXcepTion-SFLOPs=8.5G, Params=43.4M2022.120.366————
FastViT-MA36Number of Parameters=42.7M, FLOPs=7.9G2023.030.366————
GLAShots=16, Backbone=ResNet-502023.100.364————
RobustViTBackbone=ViT-B, Annotated segmentation=true2022.060.3620.585———
GradMaskBackbone=ViT-B, Annotated segmentation=true2022.060.3580.578———
Right for the Right Reason (RRR)Backbone=ViT-B, Annotated segmentation=true2022.060.3580.578———
RobustViTBackbone=ViT-B, Annotated segmentation=false2022.060.3580.582———
FastViT-SA36Number of Parameters=30.4M, FLOPs=5.6G2023.030.358————
m2-mixZero-shot=true2025.040.3559————
ContrastiveZero-shot=true2025.040.3557————
CLIPShots=0, Backbone=ResNet-50, Mode=Zero-shot2023.100.355————
OriginalBackbone=ViT-B, Annotated segmentation=false2022.060.3540.574———
RVT-SNumber of Parameters=22.1M, FLOPs=4.7G2023.030.35————
NEXcepTion-TFLOPs=4.7G, Params=24.5M2022.120.3473————
HyCD+LAlignZero-shot=true2025.040.3473————
NEXcepTion-TPFLOPs=4.5G, Params=26.6M2022.120.347————
RVT-SFLOPs=4.7G, Params=23.3M2022.120.347————
EfficientNet-B4Number of Parameters=19.3M, FLOPs=4.2G2023.030.341————
FastViT-SA24Number of Parameters=20.6M, FLOPs=3.8G2023.030.34————
RobustViTBackbone=AR-S, Annotated segmentation=false2022.060.3380.555———
ConvNeXt-TFLOPs=4.5G, Params=28.6M2022.120.338————
ConvNeXt-TNumber of Parameters=28.6M, FLOPs=4.5G2023.030.338————
RobustViTBackbone=AR-S, Annotated segmentation=true2022.060.3350.554———
ConViT-SNumber of Parameters=27.8M, FLOPs=5.4G2023.030.331————
ProGradShots=16, Backbone=ResNet-502023.100.331————
PLOTShots=16, Backbone=ResNet-502023.100.33————
Right for the Right Reason (RRR)Backbone=AR-S, Annotated segmentation=true2022.060.3290.542———
OriginalBackbone=AR-S, Annotated segmentation=false2022.060.3280.542———
GradMaskBackbone=AR-S, Annotated segmentation=true2022.060.3250.537———
CoOpShots=16, Backbone=ResNet-502023.100.325————
RobustViTBackbone=DeiT-B, Annotated segmentation=false2022.060.3150.499———
ResNet-50Number of Parameters=25.6M, FLOPs=4.1G, AugMix=true2023.030.315————
RILSBackbone=ViT-B/16, Zero-shot=true, Training Epochs=25, Training Data=L-20M2023.010.314————
OriginalBackbone=DeiT-B, Annotated segmentation=false2022.060.3120.486———
GradMaskBackbone=DeiT-B, Annotated segmentation=true2022.060.3120.491———
MAE+CLIPBackbone=ViT-B/16, Zero-shot=true, Training Epochs=25, Training Data=L-20M2023.010.311————
Right for the Right Reason (RRR)Backbone=DeiT-B, Annotated segmentation=true2022.060.3090.488———
RobustViTBackbone=DeiT-B, Annotated segmentation=true2022.060.3090.492———
RVT-TiNumber of Parameters=8.6M, FLOPs=1.3G2023.030.3————
XceptionFLOPs=8.4G, Params=43.4M2022.120.2988————
FastViT-SA12Number of Parameters=10.9M, FLOPs=1.9G2023.030.297————
Causal TransportabilityAlgorithm=SimCLR2022.040.2951————
RobustViTBackbone=DeiT-S, Annotated segmentation=false2022.060.2940.48———
ResNeXt50-32x4dNumber of Parameters=25.0M, FLOPs=4.3G2023.030.293————
RobustViTBackbone=DeiT-S, Annotated segmentation=true2022.060.2910.478———
Swin-TFLOPs=4.5G, Params=28.3M2022.120.291————
Swin-TNumber of Parameters=28.3M, FLOPs=4.5G2023.030.291————
OriginalBackbone=DeiT-S, Annotated segmentation=false2022.060.2880.467———
CLIPBackbone=ViT-B/16, Zero-shot=true, Training Epochs=25, Training Data=L-20M2023.010.281————
ERMAlgorithm=SimCLR2022.040.2743————