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Image Classification on FGVC

92.21AccuracyBPT + PAE
32.399647.927363.45578.9827Mar 22, 2022Dec 7, 2022Aug 25, 2023May 12, 2024Jan 28, 2025Oct 16, 2025Jul 4, 2026

Evaluation results

MethodLinks
BPT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.372026.0192.21—
VFPT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.272026.0191.48—
Full-TuneArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=304.33, Memory=41.5, Time=520, Throughput=79.582026.0491.43—
Full-TuneBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=304.33, Memory=41.5, Time=520, Throughput=79.582026.0491.43—
LPT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.442026.0191.32—
SA2VP + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.602026.0191.2—
ProVP + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.192026.0191.18—
VPT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.782026.0191.02—
E2VPT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.652026.0190.96—
BPTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0190.86—
VQT + PAEBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k, Speedup(x)=1.522026.0190.62—
SA2VPBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0190.08—
LPTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.94—
E2VPTArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=1.21, Memory=33.4, Time=369, Throughput=52.322026.0489.93—
ProVPBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.56—
VQTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.41—
VFPTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.24—
E2VPTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.22—
AdapterFormerArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.65, Memory=32.3, Time=289, Throughput=23.692026.0489.18—
AdapterFormerBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=0.65, Memory=32.3, Time=289, Throughput=23.692026.0489.18—
VPTBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0189.11—
Full Fine-tuneBackbone=ViT-Base/16, Pre-trained=supervised ImageNet-21k2026.0188.54—
SSFArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.48, Memory=34.7, Time=299, Throughput=79.492026.0487.32—
SSFBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=0.48, Memory=34.7, Time=299, Throughput=79.492026.0487.32—
AdapterArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=2.17, Memory=32.4, Time=357, Throughput=63.392026.0487.06—
AdapterBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=2.17, Memory=32.4, Time=357, Throughput=63.392026.0487.06—
LoRAArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=1.00, Memory=33.1, Time=363, Throughput=79.432026.0486.87—
LoRABackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=1.00, Memory=33.1, Time=363, Throughput=79.432026.0486.87—
VPTArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.25, Memory=33.7, Time=334, Throughput=76.352026.0486.34—
GateVPTArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=3.14, Memory=34.9, Time=395, Throughput=61.342026.0486.31—
VPTBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=1.24, Memory=38.6, Time=397, Throughput=72.842026.0486.05—
BiasArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.29, Memory=32.9, Time=297, Throughput=79.432026.0485.32—
BiasBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=0.29, Memory=32.9, Time=297, Throughput=79.482026.0485.32—
APArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.16, Memory=31.6, Time=262, Throughput=79.432026.0485.3—
APBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=0.16, Memory=31.6, Time=262, Throughput=79.432026.0485.3—
IndividualBackbone=DeiT-S2022.0382.69—
Linear-ProbeArchitecture=ViT-L/16, Data Setting=Full-Data, Param. #=0.01, Memory=9.7, Time=121, Throughput=79.642026.0482.23—
Linear-ProbeBackbone=ViT-Large/16, Data Setting=Full-Data, Param. #=0.01, Memory=9.7, Time=121, Throughput=79.642026.0482.23—
HACEArchitecture=ResNet-50, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0580.62—
HACEArchitecture=ResNet-18, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0578.88—
SCEArchitecture=ResNet-34, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0577.74—
HACEArchitecture=ResNet-34, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0577.32—
IndividualBackbone=DeiT-Ti2022.0370—
SCEArchitecture=ResNet-50, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0569.88—
SCEArchitecture=ResNet-18, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0568.29—
FFBackbone=ViT-Large, Method=FF, # Params=303.3M2026.0568.25—
MEATBackbone=DeiT-S2022.0365.69—
SEBackbone=ViT-B/16, Text prompt ensembles=true2026.0765.49—
TPSBackbone=ViT-B/16, Text prompt ensembles=true2026.0765.31—
RLCFOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0765—
USEOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0764.92—
TPTOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0764.78—
ZEROBackbone=ViT-B/16, Text prompt ensembles=true2026.0764.7—
SEOptim.=false, Backbone=ViT-B/16, Initialization=CoOp2026.0764.57—
CLIPBackbone=ViT-B/16, Text prompt ensembles=true2026.0764.5—
STSBackbone=ViT-B/16, Text prompt ensembles=true2026.0764.4—
TPSOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0764.34—
C-TPTOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0764.3—
MTAOptim.=false, Backbone=ViT-B/16, Initialization=CoOp2026.0764.14—
IndividualBackbone=T2T-ViT-122022.0364.09—
R-TPTOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0764.06—
TTLOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0763.99—
ZEROOptim.=false, Backbone=ViT-B/16, Initialization=CoOp2026.0763.81—
STSOptim.=true, Backbone=ViT-B/16, Initialization=CoOp2026.0763.3—
CoOpOptim.=false, Backbone=ViT-B/16, Initialization=CoOp2026.0763.27—
HATBackbone=DeiT-S2022.0362.99—
GPartBackbone=ViT-Large, Method=GPart (Ours), # Params=144K2026.0561.48—
PiggybackBackbone=DeiT-S2022.0360.04—
HACEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Soft label, Beta=302026.0558.99—
HACEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=No label smooth.2026.0558.97—
HACEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Soft label, Beta=102026.0558.9—
Uni-LoRABackbone=ViT-Large, Method=Uni-LoRA, # Params=144K2026.0558.89—
HACEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Label smooth.2026.0558.7—
Adaptor-BBackbone=DeiT-S2022.0357.04—
GPartBackbone=ViT-Base, Method=GPart (Ours), # Params=72K2026.0556.84—
LwFBackbone=DeiT-S2022.0355.99—
FFBackbone=ViT-Base, Method=FF, # Params=85.8M2026.0554.84—
SCEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Soft label, Beta=302026.0554.1—
SCEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=No label smooth.2026.0553.91—
SCEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Soft label, Beta=102026.0553.83—
MEATBackbone=T2T-ViT-122022.0353.55—
SCEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Label Smoothing Condition=Label smooth.2026.0553.4—
MEATBackbone=DeiT-Ti2022.0352.69—
HATBackbone=T2T-ViT-122022.0352.69—
PiggybackBackbone=T2T-ViT-122022.0351.47—
FourierFTBackbone=ViT-Large, Method=FourierFT, # Params=480K2026.0551.28—
Uni-LoRABackbone=ViT-Base, Method=Uni-LoRA, # Params=72K2026.0550.36—
HXEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Alpha=0.22026.0549.81—
Adaptor-BBackbone=T2T-ViT-122022.0348.02—
HATBackbone=DeiT-Ti2022.0346.71—
PiggybackBackbone=DeiT-Ti2022.0345.58—
HACEArchitecture=Swin-T, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0544.34—
HXEEvaluation Protocol=Linear probing, Backbone=DINOv2-Large, Alpha=0.52026.0542.9—
LwFBackbone=T2T-ViT-122022.0342.07—
Adaptor-BBackbone=DeiT-Ti2022.0341.28—
FourierFTBackbone=ViT-Large, Method=FourierFT, # Params=144K2026.0539.92—
LwFBackbone=DeiT-Ti2022.0338.87—
HACEArchitecture=ConvNeXt-T, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0538.82—
SCEArchitecture=Swin-T, Evaluation Protocol=End-to-end training, Aggregation Strategy=Best across all dilution values d in {0.2, 0.5, 0.7} and LR pairings2026.0538.16—
GPUA*Samples per class=162026.0634.7—