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Image Classification on ImageNet (10%)

90.06Top-1 AccVisformer-S
46.837658.058869.2880.5012Mar 2, 2021Aug 16, 2021Jan 30, 2022Jul 16, 2022Dec 30, 2022Jun 15, 2023Nov 29, 2023

Evaluation results

MethodLinks
Visformer-SFLOPS (G)=4.9, Parameters (M)=40.22021.0490.06—
ResNet-50FLOPS (G)=4.1, Parameters (M)=25.62021.0489.9—
Meta Co-TrainingBackbone=MLP, Trained on large model embeddings=true, Protocol=Meta Co-Training2023.1185.8—
REACTBackbone=ViT-L, Protocol=REACT2023.1185.1—
Co-TrainingBackbone=MLP, Trained on large model embeddings=true, Protocol=Co-Training2023.1185.1—
CLIPBackbone=ViT-L, Protocol=Fine-tuned2023.1184.7—
Deep EnsembleTrained on large model embeddings=true, Protocol=Deep Ensemble2023.1184.3—
Semi-ViTBackbone=ViT-L, Protocol=Self-trained2023.1183.3—
DINOv2Backbone=ViT-L, Protocol=Linear2023.1182.9—
SimCLR v2Arch.=RN152w3+SK, Param.=795M2021.0380.1—
DeiT-SFLOPS (G)=4.6, Parameters (M)=21.82021.0480.06—
SimCLRv2Backbone=ResNet152-w2, Protocol=Fine-tuned2023.1179.4—
SEERArch.=RG256, Param.=1.3B2021.0377.9—
BYOLArch.=RN200, Param.=250M2021.0377.7—
SEERArch.=RG128, Param.=693M2021.0376.7—
EsViTBackbone=Swin-B, W=14, Protocol=Linear2023.1174.4—
CowMixArch.=RN152, Param.=265M2021.0373.9—
MPLBackbone=EfficientNet-B6-Wide, Protocol=MPL2023.1173.9—
FixMatchArch.=RN50, Param.=24M2021.0371.5—
FixMatchBackbone=ResNet-50, Protocol=FixMatch2023.1171.46—
SwAVArch.=RN50, Param.=24M2021.0370.2—
SwAVBackbone=ResNet-50, Evaluation Protocol=Fine-tuning, multi-crop=true2021.0470.289.9
SWAVBackbone=RN50-w4, Protocol=Fine-tuned2023.1170.2—
NNCLRBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.0469.889.3
BYOLBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.0468.889
UDABackbone=ResNet50, Protocol=UDA2023.1168.78—
SimCLRArch.=RN50, Param.=24M2021.0365.6—
SimCLRBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.0465.687.8
SupervisedBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.0456.480.4
ScratchArch.=RG128, Param.=848M2021.0354.5—
Deep Co-TrainingBackbone=ResNet-18, Protocol=Co-Training2023.1153.5—
MAEBackbone=ViT-L, Protocol=MLP2023.1148.5—
InstDiscBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.04—77.4
PCLBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.04—86.2
PIRLBackbone=ResNet-50, Evaluation Protocol=Fine-tuning2021.04—83.8