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ResearchFormerly WizWand

Image Classification on ImageNet-1K V1

90.88Top-1 AccCoAtNet-7
55.561664.730873.983.0692Nov 18, 2021Dec 19, 2021Jan 20, 2022Feb 20, 2022Mar 24, 2022Apr 24, 2022May 26, 2022
Updated 8mo ago

Evaluation results

MethodLinks
CoAtNet-7param=2.44B, pre-train images=JFT-3B, pre-train im size=224x224, pre-train time=20.1k, fine-tune im size=512x5122021.1190.88
ViT-Gparam=1.8B, pre-train images=JFT-3B, pre-train length (#im)=164B, pre-train im size=224x224, pre-train time=>30k, fine-tune im size=518x5182021.1190.45
V-MoEparam=14.7B*, pre-train images=JFT-3B, pre-train im size=224x224, pre-train time=16.8k, fine-tune im size=518x5182021.1190.35
SwinV2-Gparam=3.0B, pre-train images=IN-22K-ext-70M, pre-train length (#im)=3.5B, pre-train im size=192x192, pre-train time=<0.5k†, fine-tune im size=640x6402021.1190.17
SwinV2-Lparam=197M, pre-train images=IN-22K-14M, pre-train length (#im)=1.3B, pre-train im size=192x192, pre-train time=<20†, fine-tune im size=384x3842021.1187.7
SwinV1-Lparam=197M, pre-train images=IN-22K-14M, pre-train length (#im)=1.3B, pre-train im size=224x224, pre-train time=<10†, fine-tune im size=384x3842021.1187.3
SwinV2-Bparam=88M, pre-train images=IN-22K-14M, pre-train length (#im)=1.3B, pre-train im size=192x192, pre-train time=<30†, fine-tune im size=384x3842021.1187.1
SwinV1-Bparam=88M, pre-train images=IN-22K-14M, pre-train length (#im)=1.3B, pre-train im size=224x224, pre-train time=<30†, fine-tune im size=384x3842021.1186.4
FFRep. Size=2048, Fine-tuning=false2022.0577.1
MRLRep. Size=2048, Fine-tuning=false2022.0576.95
MRLRep. Size=1024, Fine-tuning=false2022.0576.93
MRLRep. Size=512, Fine-tuning=false2022.0576.82
FFRep. Size=1024, Fine-tuning=false2022.0576.74
MRLRep. Size=256, Fine-tuning=false2022.0576.66
MRL-ERep. Size=2048, Fine-tuning=false2022.0576.65
MRL-ERep. Size=1024, Fine-tuning=false2022.0576.6
MRL-ERep. Size=512, Fine-tuning=false2022.0576.48
MRLRep. Size=128, Fine-tuning=false2022.0576.46
MRL-ERep. Size=256, Fine-tuning=false2022.0576.31
FFRep. Size=512, Fine-tuning=false2022.0576.3
MRLRep. Size=64, Fine-tuning=false2022.0576.17
MRL-ERep. Size=128, Fine-tuning=false2022.0576.05
FFRep. Size=256, Fine-tuning=false2022.0575.78
MRL-ERep. Size=64, Fine-tuning=false2022.0575.48
FFRep. Size=128, Fine-tuning=false2022.0575.47
FFRep. Size=64, Fine-tuning=false2022.0575.45
MRLRep. Size=32, Fine-tuning=false2022.0575.26
MRL-ERep. Size=32, Fine-tuning=false2022.0574.8
FFRep. Size=32, Fine-tuning=false2022.0574.68
MRLRep. Size=16, Fine-tuning=false2022.0573.8
FFRep. Size=16, Fine-tuning=false2022.0573.1
MRL-ERep. Size=16, Fine-tuning=false2022.0572.38
MRLRep. Size=8, Fine-tuning=false2022.0567.46
FFRep. Size=8, Fine-tuning=false2022.0565.86
MRL-ERep. Size=8, Fine-tuning=false2022.0556.92