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Image Classification on ImageNet 10% labeled 1k (test)

91.2Top-5 AccuracyWCL
76.84880.57484.388.026Oct 10, 2021

Evaluation results

MethodLinks
WCLLearning Paradigm=Self-Supervised, Fine-tuning Layer=Projection Head2021.1091.272—
WCLLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1090.371.1—
FNCancelLearning Paradigm=Self-Supervised, Fine-tuning Layer=Projection Head2021.1090.271.1—
SwAVLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1089.970.2—
FixMatchLearning Paradigm=Semi-supervised2021.1089.171.46—
BYOLLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.108968.8—
UDALearning Paradigm=Semi-supervised2021.1088.5——
SimCLR v1Learning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1087.865.6—
PCLLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1086.2——
S4LLearning Paradigm=Semi-supervised2021.1083.8——
PIRLLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1083.857.2—
SupervisedLearning Paradigm=Supervised2021.1080.448.4—
InstDiscLearning Paradigm=Self-Supervised, Fine-tuning Layer=AvgPool2021.1077.4——
DeiT-STraining Setting=Elite, Epochs=3002021.04——80.06
DeiT-STraining Setting=Elite, Epochs=3002021.04——40.41
DeiT-TiTraining Setting=Elite, Epochs=3002021.04——78.72
DeiT-TiTraining Setting=Elite, Epochs=3002021.04——38.44
ResNet-50Training Setting=Elite, Epochs=3002021.04——89.9
ResNet-50Training Setting=Elite, Epochs=3002021.04——58.37
ResNet-50-55%Training Setting=Elite, Epochs=3002021.04——87.1
ResNet-50-55%Training Setting=Elite, Epochs=3002021.04——51.48
SimCLR v2Learning Paradigm=Self-Supervised, Fine-tuning Layer=Projection Head, Backbone=ResNet-502021.10—68.4—
SimCLR v2Learning Paradigm=Self-Supervised, Fine-tuning Layer=Projection Head, Backbone=ResNet-1012021.10—71.4—
Visformer-STraining Setting=Elite, Epochs=3002021.04——90.06
Visformer-STraining Setting=Elite, Epochs=3002021.04——58.74
Visformer-TiTraining Setting=Elite, Epochs=3002021.04——89.48
Visformer-TiTraining Setting=Elite, Epochs=3002021.04——55.14