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ResearchFormerly WizWand

Image Classification on ImageNet-1K (val) (Accuracy, Time & FLOPs Efficiency)

80.18AccuracySViTE+-Small
66.784870.262473.7477.2176Jun 8, 2021Jan 4, 2022Aug 3, 2022Mar 1, 2023Sep 28, 2023Apr 25, 2024Nov 22, 2024
Updated 8mo ago

Evaluation results

MethodLinks
SViTE+-SmallTokens (%)=95%, Sparsity Type=Unstructured, Sparsity Ratio=50%2021.0680.184.449.32
SViTE+-SmallTokens (%)=90%, Sparsity Type=Unstructured, Sparsity Ratio=50%2021.0679.917.6352.38
SViTE+-SmallTokens (%)=100%, Sparsity Type=Unstructured, Sparsity Ratio=50%2021.0679.72046.26
S2ViTE+-SmallTokens (%)=100%, Sparsity Type=Structured, Sparsity Ratio=40%2021.0679.2222.6531.63
S2ViTE+-SmallTokens (%)=95%, Sparsity Type=Structured, Sparsity Ratio=40%2021.0678.4427.1737.76
S2ViTE+-SmallTokens (%)=90%, Sparsity Type=Structured, Sparsity Ratio=40%2021.0678.1629.2141.5
SViTE+-SmallTokens (%)=70%, Sparsity Type=Unstructured, Sparsity Ratio=50%2021.0677.919.7763.95
SigLIxPTrain-free=true, Shots=16, Backbone=ViT-B/162024.1177.9——
S2ViTE+-SmallTokens (%)=70%, Sparsity Type=Structured, Sparsity Ratio=40%2021.0674.7739.154.96
DMNTrain-free=false, Shots=16, Backbone=ViT-B/162024.1174.7——
APE-TTrain-free=false, Shots=16, Backbone=ViT-B/162024.1174.3——
CasPLTrain-free=false, Shots=16, Backbone=ViT-B/162024.1174.2——
Tip-Adapter-FTrain-free=false, Shots=16, Backbone=ViT-B/162024.1173.7——
PromptSRCTrain-free=false, Shots=16, Backbone=ViT-B/162024.1173.2——
DMN-TFTrain-free=true, Shots=16, Backbone=ViT-B/162024.1172.6——
MaPLeTrain-free=false, Shots=16, Backbone=ViT-B/162024.1172.3——
APETrain-free=true, Shots=16, Backbone=ViT-B/162024.1172.1——
TIP-XTrain-free=true, Shots=16, Backbone=ViT-B/162024.1171.1——
Clip-AdapterTrain-free=false, Shots=16, Backbone=ViT-B/162024.1171.1——
Linear ProbeTrain-free=false, Shots=16, Backbone=ViT-B/162024.1167.3——