Image Classification on ImageNet Real 1.0 (val)
90.2Real Top-1 AccCaiT-M36↑448
Evaluation Results
| Method | Links | |
|---|---|---|
| CaiT-M36↑448Params=271M, FLOPs=247.8B, Train size=224, Test size=4482021.04 | 90.2 | |
| LV-ViT-L↑512Params=151M, FLOPs=214.8B, Train size=448, Test size=5122021.04 | 90.1 | |
| Fix-EfficientNet-B8Params=87M, FLOPs=89.5B, Train size=672, Test size=8002021.04 | 90 | |
| LV-ViT-L↑448Params=150M, FLOPs=157.2B, Train size=448, Test size=4482021.04 | 89.9 | |
| CaiT-S36↑384Params=68M, FLOPs=48.0B, Train size=224, Test size=3842021.04 | 89.8 | |
| LV-ViT-L↑448Params=150M, FLOPs=157.2B, Train size=288, Test size=4482021.04 | 89.7 | |
| LV-ViT-M↑384Params=56M, FLOPs=42.2B, Train size=224, Test size=3842021.04 | 89.5 | |
| NFNet-F3Params=255M, FLOPs=114.8B, Train size=320, Test size=4162021.04 | 89.4 | |
| NFNet-F4Params=316M, FLOPs=215.3B, Train size=384, Test size=5122021.04 | 89.4 | |
| CaiT-M36Params=271M, FLOPs=53.7B, Train size=224, Test size=2242021.04 | 89.3 | |
| LV-ViT-LParams=150M, FLOPs=59.0B, Train size=288, Test size=2882021.04 | 89.3 | |
| NFNet-F5Params=377M, FLOPs=289.8B, Train size=416, Test size=5442021.04 | 89.2 | |
| LV-ViT-S↑384Params=26M, FLOPs=22.2B, Train size=224, Test size=3842021.04 | 88.9 | |
| HAT (+KD)Backbone=ViT-B, Training Set=ImageNet-1K, Knowledge Distillation=true2022.04 | 88.8 | |
| LV-ViT-MParams=56M, FLOPs=16.0B, Train size=224, Test size=2242021.04 | 88.4 | |
| EfficientNet-B5Params=30M, FLOPs=9.9B, Train size=456, Test size=4562021.04 | 88.3 | |
| DeiT (+KD)Backbone=ViT-B, Training Set=ImageNet-1K, Knowledge Distillation=true2022.04 | 88.3 | |
| CvT*-LS-21#Param (M)=32.1, Image Size=448x448, FLOPs (G)=34.22021.07 | 88.2 | |
| LV-ViT-SParams=26M, FLOPs=6.6B, Train size=224, Test size=2242021.04 | 88.1 | |
| CvT*-LS-21#Param (M)=32.1, Image Size=384x384, FLOPs (G)=23.92021.07 | 88 | |
| CvT-13#Param (M)=20, Image Size=384x384, FLOPs (G)=31.92021.07 | 87.9 | |
| HATBackbone=ViT-B, Training Set=ImageNet-1K2022.04 | 87.9 | |
| DeiT-B↑384Params=86M, FLOPs=55.4B, Train size=224, Test size=3842021.04 | 87.7 | |
| CvT-21#Param (M)=32, Image Size=384x384, FLOPs (G)=452021.07 | 87.7 | |
| CvT*-LS-21#Param (M)=32.1, Image Size=224x224, FLOPs (G)=7.9, Latency (s)=0.1222021.07 | 87.5 | |
| CvT*-LS-21S#Param (M)=30.1, Image Size=224x224, FLOPs (G)=11.32021.07 | 87.4 | |
| CvT-21#Param (M)=32, Image Size=224x224, FLOPs (G)=10.1, Latency (s)=0.1652021.07 | 87.2 | |
| CvT*-LS-17#Param (M)=23.7, Image Size=224x224, FLOPs (G)=9.82021.07 | 87.2 | |
| CvT*-LS-13#Param (M)=20.3, Image Size=224x224, FLOPs (G)=4.9, Latency (s)=0.0832021.07 | 87 | |
| PyramidATBackbone=ViT-B, Training Set=ImageNet-1K2022.04 | 86.8 | |
| DeiT-BParams=86M, FLOPs=17.5B, Train size=224, Test size=2242021.04 | 86.7 | |
| DeiT-B#Param (M)=86, Image Size=224x224, FLOPs (G)=17.62021.07 | 86.7 | |
| CvT-13#Param (M)=20, Image Size=224x224, FLOPs (G)=6.7, Latency (s)=0.1222021.07 | 86.7 | |
| DeiTBackbone=ViT-B, Training Set=ImageNet-1K2022.04 | 86.7 | |
| DeiT-SParams=22M, FLOPs=4.6B, Train size=224, Test size=2242021.04 | 85.7 | |
| DeiT-S#Param (M)=22, Image Size=224x224, FLOPs (G)=4.62021.07 | 85.7 | |
| SAMBackbone=ViT-B, Training Set=ImageNet-1K2022.04 | 85.2 | |
| ResNet-152#Param (M)=60, Image Size=224x224, FLOPs (G)=112021.07 | 84.1 | |
| ResNet-101#Param (M)=45, Image Size=224x224, FLOPs (G)=7.92021.07 | 83.7 | |
| ViT-B/16Params=86M, FLOPs=55.4B, Train size=224, Test size=3842021.04 | 83.6 | |
| ResNet-50#Param (M)=25, Image Size=224x224, FLOPs (G)=4.12021.07 | 82.5 | |
| VanillaBackbone=ViT-B, Training Set=ImageNet-1K2022.04 | 82.3 | |
| ViT-L/16Params=307M, FLOPs=190.7B, Train size=224, Test size=3842021.04 | 82.2 |