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Image Classification (Linear Probe) on ImageNet V2 1.0

75.1Top-1 AccuracyCLIP-VIT-L/14
66.46868.70970.9573.191Nov 10, 2024

Evaluation results

MethodLinks
CLIP-VIT-L/14Backbone=ViT-L/14, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=321, # Inference Params (M)=3212024.1175.1—
TinyVit-21MBackbone=TinyVit-21M, Over-parameterization method=OPDF, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=38, # Inference Params (M)=212024.1174.993.4
TinyVit-21MBackbone=TinyVit-21M, Over-parameterization method=None, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=21, # Inference Params (M)=212024.117391.9
TinyVit-11MBackbone=TinyVit-11M, Over-parameterization method=OPDF, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=23, # Inference Params (M)=112024.1172.492.6
TinyVit-21MBackbone=TinyVit-21M, Over-parameterization method=SVD, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=29, # Inference Params (M)=212024.1171.892.4
TinyVit-11MBackbone=TinyVit-11M, Over-parameterization method=SVD, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=17, # Inference Params (M)=112024.1171.791.4
TinyVit-11MBackbone=TinyVit-11M, Over-parameterization method=None, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=11, # Inference Params (M)=112024.1170.790.4
TinyVit-5MBackbone=TinyVit-5M, Over-parameterization method=OPDF, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=9.9, # Inference Params (M)=5.42024.1169.488.9
TinyVit-5MBackbone=TinyVit-5M, Over-parameterization method=SVD, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=7.6, # Inference Params (M)=5.42024.1168.788.4
TinyVit-5MBackbone=TinyVit-5M, Over-parameterization method=None, Pre-trained=ImageNet-21k, Evaluation Protocol=linear probe, # Train Params (M)=5.4, # Inference Params (M)=5.42024.1166.887.6