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Image Classification on Food101 (test)

96.38AccuracySDFed
13.450434.980256.5178.0398Apr 12, 2024Aug 12, 2024Dec 13, 2024Apr 14, 2025Aug 15, 2025Dec 15, 2025Apr 17, 2026

Evaluation results

MethodLinks
SDFedBackbone=ViT-B162026.0296.38———————
BiFTABackbone=ViT-L/14, Zero-shot=true2026.0193.97———————
WCABackbone=ViT-L/14, Zero-shot=true2026.0193.93———————
DINO.txt#param=304M, Evaluation Protocol=Zero-shot2026.0493.4———————
CuPLBackbone=ViT-L/14, Zero-shot=true2026.0193.37———————
WaffleBackbone=ViT-L/14, Zero-shot=true2026.0193.33———————
CLIP-EBackbone=ViT-L/14, Zero-shot=true2026.0193.07———————
CLIP-DBackbone=ViT-L/14, Zero-shot=true2026.0193.03———————
UOPPBackbone=ViT-B162026.0292.94———————
GPT-FLBackbone=ViT-B162026.0292.85———————
CLIPBackbone=ViT-L/14, Zero-shot=true2026.0192.55———————
SDFedBackbone=ResNet502026.0292.15———————
FedOTPBackbone=ViT-B162026.0290.71———————
OTTERBackbone=ViT-B/16, Setting=Zero-shot2024.0489.9———————
HisTPTBackbone=ViT-B/16, Protocol=Continuous Test-time Prompt Tuning2024.1089.3———————
UOPPBackbone=ResNet502026.0289.12———————
PowderBackbone=ViT-B162026.0288.41———————
Scalable Diffusion ModelMissing Type=Image, Zero-Shot=true2026.0288.37———————
GPT-FLBackbone=ResNet502026.0288.34———————
SyPMissing Type=Image, Zero-Shot=true2026.0287.82———————
DCPMissing Type=Image, Zero-Shot=true2026.0287.74———————
MDPMissing Type=Image, Zero-Shot=true2026.0287.07———————
Prior MatchingBackbone=ViT-B/16, Setting=Zero-shot2024.0486.8———————
MAPMissing Type=Image, Zero-Shot=true2026.0286.72———————
FedTPGnum_prompts=8, alpha=0.32024.0986.59———————
PromptFolionum_prompts=8, alpha=0.32024.0986.5———————
DiffTPTBackbone=ViT-B/16, Protocol=Continuous Test-time Prompt Tuning2024.1086.5———————
FedOTPBackbone=ResNet502026.0285.67———————
Zero-shotBackbone=ViT-B/16, Setting=Zero-shot2024.0485.6———————
PromptFL+FedProxnum_prompts=8, alpha=0.3, federated_optimizer=FedProx2024.0985.48———————
PromptFLnum_prompts=8, alpha=0.32024.0985.15———————
SHiRABackbone=ViT-Base, Evaluation Protocol=Fine-tuned2024.0684.43———————
LoRABackbone=ViT-Base, Evaluation Protocol=Fine-tuned2024.0684.27———————
TPTBackbone=ViT-B/16, Protocol=Continuous Test-time Prompt Tuning2024.1084.2———————
REDEEMMissing Type=Image, Zero-Shot=true2026.0283.78———————
CLIPBackbone=ViT-B/16, Protocol=Zero-shot2024.1083.6———————
PromptFL+FedAMPnum_prompts=8, alpha=0.3, federated_strategy=FedAMP2024.0983.24———————
PowderBackbone=ResNet502026.0283.21———————
CoOpnum_prompts=8, alpha=0.32024.0983.09———————
Scalable Diffusion ModelMissing Type=Both, Zero-Shot=true2026.0283.01———————
APArchitecture=CLIP (ViT-B/32)2026.0482.43———————
RAGPTMissing Type=Image, Zero-Shot=true2026.0282.42———————
PromptFL+FedPernum_prompts=8, alpha=0.3, federated_strategy=FedPer2024.0982.2———————
DCPMissing Type=Both, Zero-Shot=true2026.0281.83———————
AdaVFM (LARGE)#param=50M, Evaluation Protocol=Zero-shot2026.0481.7———————
CoOpBackbone=ViT-B162026.0281.65———————
APArchitecture=Swin-Transformer (Swin-B)2026.0481.38———————
HisTPTBackbone=ResNet-50, Protocol=Continuous Test-time Prompt Tuning2024.1081.3———————
SyPMissing Type=Both, Zero-Shot=true2026.0281.27———————
PromptFL+FTnum_prompts=8, alpha=0.3, tuning=fine-tuning2024.0980.85———————
AdaVFM (BASE)#param=36M, Evaluation Protocol=Zero-shot2026.0480.5———————
MDPMissing Type=Both, Zero-Shot=true2026.0279.62———————
VPArchitecture=CLIP (ViT-B/32)2026.0479.61———————
AdaVFM (SMALL)#param=29M, Evaluation Protocol=Zero-shot2026.0479.2———————
REDEEMMissing Type=Both, Zero-Shot=true2026.0278.77———————
Scalable Diffusion ModelMissing Type=Text, Zero-Shot=true2026.0278.71———————
BOFTBackbone=ViT-L, m=4, r=4, #Params=2.95M2024.0578.42———————
MAPMissing Type=Both, Zero-Shot=true2026.0278.42———————
SVFTBackbone=ViT-L, Variant=SVFT-B, d=8, #Params=2.5M2024.0578.36———————
DiffTPTBackbone=ResNet-50, Protocol=Continuous Test-time Prompt Tuning2024.1078.3———————
AdaVFM (TINY)#param=16M, Evaluation Protocol=Zero-shot2026.0478.3———————
SyPMissing Type=Text, Zero-Shot=true2026.0278.01———————
SVFTBackbone=ViT-L, Variant=SVFT-P, d=2, #Params=0.74M2024.0577.94———————
Full-FTBackbone=ViT-L, #Params=303.3M2024.0577.83———————
DCPMissing Type=Text, Zero-Shot=true2026.0277.82———————
LoRA_mul + VPT_add + PACEShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0977.8———————
RAGPTMissing Type=Both, Zero-Shot=true2026.0277.54———————
REDEEMMissing Type=Text, Zero-Shot=true2026.0277.52———————
LoRABackbone=ViT-L, r=8, #Params=3.54M2024.0577.13———————
CoOpBackbone=ResNet502026.0276.84———————
RAGPTMissing Type=Text, Zero-Shot=true2026.0276.51———————
DoRABackbone=ViT-L, r=8, #Params=3.76M2024.0576.41———————
LoRA_mul + VPT_addShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0976.4———————
VPT_add + PACEShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0976.1———————
LoRABackbone=ViT-L, r=1, #Params=0.44M2024.0575.97———————
VeRABackbone=ViT-L, r=256, #Params=0.06M2024.0575.97———————
SVFTBackbone=ViT-L, Variant=SVFT-P, #Params=0.05M2024.0575.95———————
DoRABackbone=ViT-L, r=1, #Params=0.66M2024.0575.9———————
VPArchitecture=Swin-Transformer (Swin-B)2026.0475.72———————
HeadBackbone=ViT-L, #Params=null2024.0575.57———————
VPT_addShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0975.4———————
LoRA_add + PACEShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0975.2———————
MDPMissing Type=Text, Zero-Shot=true2026.0275———————
TPTBackbone=ResNet-50, Protocol=Continuous Test-time Prompt Tuning2024.1074.4———————
MAPMissing Type=Text, Zero-Shot=true2026.0274.16———————
CLIPBackbone=ResNet-50, Protocol=Zero-shot2024.1073.9———————
AdaVFM (MIN)#param=6M, Evaluation Protocol=Zero-shot2026.0473.8———————
LoRA_addShot=16, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0971.3———————
LoRA_add + PACEShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0940.6———————
VPT_add + PACEShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0939.9———————
LoRA_mul + VPT_add + PACEShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0939.3———————
LoRA_mul + VPT_addShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0935.4———————
VPT_addShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0934.3———————
LoRA_addShot=1, Backbone=ViT-B/16, Pre-trained=ImageNet-21K2024.0933.9———————
Prototypical CurriculumShot=5-shot, Protocol=linear probing, Training epochs=4002024.1119.11———————
BaselineShot=5-shot, Protocol=linear probing, Training epochs=16002024.1116.97———————
Prototypical CurriculumShot=5-shot, Protocol=linear probing, Training epochs=2002024.1116.64———————
Any-shift PromptingShots=162024.02——90.8791.3591.11———
Any-shift PromptingShots=162024.02——90.8791.3591.11———
APP2025.11——84.686.185.4———