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Image Classification on Flowers (mean per-class accuracy)

96.5Mean Per-Class AccuracyRényiCL
62.49271.32180.1588.979Apr 29, 2021Oct 12, 2021Mar 28, 2022Sep 10, 2022Feb 24, 2023Aug 9, 2023Jan 23, 2024

Evaluation results

MethodLinks
RényiCLProtocol=linear evaluation2022.0896.5
BYOLBackbone=ResNet-50, Pre-training=ImageNet2021.0496.1
BYOLEpochs=1000, Backbone=ResNet-50, Pre-training Dataset=ImageNet2022.0396.1
BYOLProtocol=linear evaluation2022.0896.1
BYOLEvaluation protocol=Linear classifier2021.1196.1
SCEEvaluation protocol=Linear classifier2021.1196.1
NNCLRBackbone=ResNet-50, Pre-training=ImageNet2021.0495.1
NNCLRProtocol=linear evaluation2022.0895.1
NNCLREvaluation protocol=Linear classifier2021.1195.1
Sup.-INBackbone=ResNet-50, Pre-training=ImageNet2021.0494.7
SupervisedBackbone=ResNet-50, Pre-training Dataset=ImageNet2022.0394.7
SupervisedProtocol=linear evaluation2022.0894.7
SupervisedEvaluation protocol=Linear classifier2021.1194.7
SimMatch (10%)Epochs=400, Backbone=ResNet-50, Pre-training Dataset=ImageNet2022.0393.2
SimCLRBackbone=ResNet-50, Pre-training=ImageNet2021.0492.6
SimCLREpochs=1000, Backbone=ResNet-50, Pre-training Dataset=ImageNet2022.0392.6
SimCLREvaluation protocol=Linear classifier2021.1192.6
SimCLRProtocol=linear evaluation2022.0891.2
MoCo v2Epochs=800, Backbone=ResNet-50, Pre-training Dataset=ImageNet2022.0390.5
REAL-LinearEvaluation Protocol=Retrieval Augmented, Retrieval Size=5002024.0178.8
REAL-PromptEvaluation Protocol=Zero-Shot Prompting2024.0176.6
REACTEvaluation Protocol=Retrieval Augmented, Retrieval Size=10K, Variant=Locked-Text2024.0173.1
REACTEvaluation Protocol=Retrieval Augmented, Retrieval Size=10K, Variant=Gated-Image2024.0172.3
OpenAI templatesEvaluation Protocol=Zero-Shot Prompting2024.0168
PromptingEvaluation Protocol=Zero-Shot Prompting, Prompt Template=a photo of {concept}2024.0166.5
CuPLEvaluation Protocol=Zero-Shot Prompting2024.0165.8
PromptingEvaluation Protocol=Zero-Shot Prompting, Prompt Template={concept}2024.0163.8