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Image Classification on ImageNet-1K 1.0 (val)

90Top-1 Accuracy

RevCol-H

Updated 19d ago

Evaluation Results

Method	Links
RevCol-H 2022.12		90
CoAtNet-5 2022.04		89.77
MaxViT-XL 2022.04		89.53
MaxViT-L 2022.04		89.41
RevCol-XL 2022.12		89.4
MaxViT-XL 2022.04		89.36
NFNet-F4+ 2022.04		89.2
MaxViT-L 2022.04		89.12
CoAtNet-4 2022.04		89.11
MOAT-4 2022.10		89.1
FD-CLIP* 2022.05		89
MaxViT-B 2022.04		88.82
CoAtNet-3 2022.04		88.81
MViTv2-H 2022.10		88.8
MaxViT-XL 2022.04		88.7
MaxViT-XL 2022.10		88.7
MaxViT-B 2022.04		88.69
CoAtNet-4 2022.10		88.6
MAE 2022.12		88.6
ViT-H/14 2022.04		88.55
MaxViT-XL 2022.04		88.51
ViTAE-H 2022.02		88.5
MaxViT-L 2022.04		88.46
MOAT-3 2022.10		88.4
MaxViT-B 2022.04		88.38
MaxViT-L 2022.04		88.32
ViTAE-L 2022.02		88.3
MaxViT-B 2022.04		88.24
MOAT-3 2022.10		88.2
RevCol-XL 2022.12		88.2
CoAtNet-4 2022.04		88.1
MSG-MAE 2022.12		88.1
ViTAE-H 2022.02		88
dBOT 2022.09		88
CoAtNet-4 2022.04		87.9
CoAtNet-3 2022.04		87.9
CoAtNet-4 2022.02		87.9
ConvNeXt-XL 2022.04		87.8
ViTAE-H 2022.02		87.8
ConvNeXt-XL 2022.10		87.8
ConvNeXt-XL 2022.12		87.8
MAE 2022.09		87.8
ViT-L/16 2022.04		87.76
FD-CLIP 2022.05		87.7
SwinV2-L 2022.04		87.7
CvT-W24 2022.04		87.7
HorNet-LGF (384 resolution) 2022.07		87.7
SwinV2-L 2022.02		87.7
CvT-W24 2022.02		87.7
SwinV2-L 2022.10		87.7
MOAT-2 2022.10		87.7
CoAtNet-3 2022.04		87.6
SwinV2-L 2022.07		87.6
HorNet-L7x7 (384 resolution) 2022.07		87.6
CoAtNet-3 2022.10		87.6
RevCol-L 2022.12		87.6
ConvNeXt-L 2022.04		87.5
CSwin-L 2022.04		87.5
CSWin-L 2022.07		87.5
ConvNeXt-L (384 resolution) 2022.07		87.5
ViTAE-L 2022.02		87.5
ConvNeXt-L 2022.10		87.5
CSwin-L 2022.10		87.5
MOAT-2 2022.10		87.5
ConvNeXt-L 2022.12		87.5
ConvNeXt-L 2022.09		87.5
DiNAT-L† 2022.09		87.5
ConvNeXt-L 2022.09		87.5
DINAT-L 2022.09		87.5
UniNet-B6 2022.07		87.4
DiNATs-L 2022.09		87.4
DiNAT-L 2022.09		87.4
DINAT-L 2022.09		87.4
dBOT 2022.09		87.4
EffNetV2-XL 2022.07		87.3
Swin-L 2022.07		87.3
CoAtNet-2 2022.07		87.3
EffNetV2-XL 2022.04		87.3
Swin-L 2022.04		87.3
CoAtNet-2 2022.04		87.3
Swin-L (384 resolution) 2022.07		87.3
Swin-L 2022.02		87.3
EfficientNetV2-XL 2022.10		87.3
Swin-L 2022.10		87.3
Swin-L 2022.12		87.3
Swin-L 2022.09		87.3
Swin-L 2022.09		87.3
MOAT-1 2022.10		87.2
MSG-MAE 2022.12		87.2
ResNet+ViT-L/16 2022.04		87.12
CoAtNet-2 2022.07		87.1
WISE-FT CLIP 2022.05		87.1
SwinV2-B 2022.04		87.1
CoAtNet-2 2022.04		87.1
FAN-L-Hybrid 2022.04		87.1
SwinV2-H 2022.02		87.1
VOLO-D5 2022.06		87.1
UniNet-B5 2022.07		87
CSwin-B 2022.04		87
HorNet-LGF 2022.07		87

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