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Image Classification on ImageNet-1K 1.0 (val) (Top-1 Accuracy and Hardware Throughput)

82.2Top-1 AccFocal-Tiny
79.70480.3528181.648May 26, 2022

Evaluation results

MethodLinks
Focal-TinyParams (M)=29, FLOPs (G)=4.9, Batch size=64, Image resolution=224 x 2242022.0582.2471372261384
ConvNext-TiParams (M)=28, FLOPs (G)=4.5, Batch size=64, Image resolution=224 x 2242022.0582.11,6547625711,079
PVTv2-B2Params (M)=25, FLOPs (G)=4, Batch size=64, Image resolution=224 x 2242022.05821,175670451854
XCiT-S12Params (M)=26, FLOPs (G)=4.8, Batch size=64, Image resolution=224 x 2242022.05821,7277615041,068
LITv2-SParams (M)=28, FLOPs (G)=3.7, Batch size=64, Image resolution=224 x 2242022.05821,8741,3049281,471
CaiT-XS24Params (M)=27, FLOPs (G)=5.4, Batch size=64, Image resolution=224 x 2242022.0581.8991484299623
CvT-13Params (M)=20, FLOPs (G)=4.5, Batch size=64, Image resolution=224 x 2242022.0581.61,595716379947
CoAtNet-0Params (M)=25, FLOPs (G)=4.2, Batch size=64, Image resolution=224 x 2242022.0581.61,5389626431,151
Swin-TiParams (M)=28, FLOPs (G)=4.5, Batch size=64, Image resolution=224 x 2242022.0581.31,5641,039710961
TNT-SParams (M)=24, FLOPs (G)=5.2, Batch size=64, Image resolution=224 x 2242022.0581.3802431298534
Twins-PCPVT-SParams (M)=24, FLOPs (G)=3.8, Batch size=64, Image resolution=224 x 2242022.0581.21,455792529998
ResNet-50Params (M)=26, FLOPs (G)=4.1, Batch size=64, Image resolution=224 x 2242022.0580.41,4241,1238771,279
PVT-SParams (M)=25, FLOPs (G)=3.8, Batch size=64, Image resolution=224 x 2242022.0579.81,4607985481,007