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ResearchFormerly WizWand

Image Classification on ImageNet-1K 1.0 (val) (Top-1 Accuracy, Throughput by Batch Size, and Memory)

199Throughput (A100, B=1)AsCAN-T
20.1266.56113159.44Nov 7, 2024
Updated 8mo ago

Evaluation results

MethodLinks
AsCAN-TResolution=224, Params=55M, MACs=7.7G2024.111993,2244,295671,14883.449.6
MOAT-2Resolution=224, Params=73M, MACs=17.2G2024.111321,3672,0873842484.731.8
AsCAN-LResolution=224, Params=173M, MACs=30.7G2024.111201,3811,6174044085.2421.2
AsCAN-BResolution=224, Params=98M, MACs=16.7G2024.111131,8782,3933859084.7315.2
RDNet-SResolution=224, Params=50M, MACs=8.7G2024.111021,7822,7615378083.712.6
MogaNet-SResolution=224, Params=25M, MACs=5.0G2024.11931,5932,4554774083.417.1
RDNet-BResolution=224, Params=87M, MACs=15.4G2024.11801,5781,8914858984.417.5
RDNet-LResolution=224, Params=186M, MACs=34.7G2024.11786409903229084.826.2
MOAT-3Resolution=224, Params=190M, MACs=44.9G2024.11708059622124685.365.2
BiFormer-BResolution=224, Params=57M, MACs=9.8G2024.11508401,4392844084.327.9
RMT-SResolution=224, Params=27M, MACs=4.5G2024.11467902,4393848084.113.7
BiFormer-SResolution=224, Params=26M, MACs=4.5G2024.11459372,1393659583.818.6
SMT-SResolution=224, Params=21M, MACs=4.7G2024.11385662,2114334883.713.5
MogaNet-LResolution=224, Params=83M, MACs=15.9G2024.11345238822429084.746.6
MogaNet-XLResolution=224, Params=181M, MACs=34.5G2024.11324715761921085.174.9
SMT-BResolution=224, Params=32M, MACs=7.7G2024.11273881,4121424384.322.6