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Classification on ImageNet-1K 1.0 (val)

90.88Top-1 Accuracy (%)

CoAtNet-7

Updated 3d ago

Evaluation Results

Method
CoAtNet-7 2022.06	90.88	-	-	-	-
ViT-G/14 2022.06	90.45	-	-	-	-
DaViT-Giant 2022.04	90.4	-	-	-	-
DaViT-Huge 2022.04	90.2	-	-	-	-
Meta Pseudo Labels (EffNet-L2) 2022.06	90.2	98.8	-	-	-
MViTv2-H 2021.12	88.8	-	-	-	-
ALIGN (EfficientNet-L2) 2022.06	88.64	98.67	-	-	-
MViTv2-H 2021.12	88.6	-	-	-	-
ViT-H/14 2022.06	88.55	-	-	-	-
CoAtNet-4 2021.12	88.4	-	-	-	-
MViTv2-L 2021.12	88.4	-	-	-	-
CLIP (w/ Noisy Student EffNet-L2) 2022.06	88.4	-	-	-	-
Top-k DiffSortNets 2022.06	88.37	98.68	-	-	-
Noisy Student EfficientNet-L2 2022.06	88.35	98.65	-	-	-
Noisy Student EfficientNet-L2 2022.06	88.33	98.65	-	-	-
Top-k SinkhornSort 2022.06	88.32	98.66	-	-	-
MViTv2-H 2021.12	88.3	-	-	-	-
MViTv2-H 2021.12	88.3	-	-	-	-
MViTv2-L 2021.12	88.2	-	-	-	-
MViTv2-H 2021.12	88	-	-	-	-
ConvNeXt-XL 2022.11	87.8	-	-	-	-
MogaNet-XL 2022.11	87.8	-	-	-	-
ConvNeXt-XL 2022.01	87.8	-	-	-	-
ConvNeXt-XL 2022.04	87.8	-	-	-	-
ViT-L/16 2022.06	87.76	-	-	-	-
DeiT III-L 2022.11	87.7	-	-	-	-
HorNet-L 2022.11	87.7	-	-	-	-
ViT-L 2022.04	87.7	-	-	-	-
CoAtNet-3 2022.11	87.6	-	-	-	-
CvT-W24 2021.12	87.6	-	-	-	-
CoAtNet-3 2022.04	87.6	-	-	-	-
BiT-L 2022.06	87.54	98.46	-	-	-
ConvNeXt-L 2022.11	87.5	-	-	-	-
ConvNeXt-L 2022.01	87.5	-	-	-	-
MViTv2-L 2021.12	87.5	-	-	-	-
CSwin-L 2021.12	87.5	-	-	-	-
CSwin-L 2022.04	87.5	-	-	-	-
DaViT-Large 2022.04	87.5	-	-	-	-
ConvNeXt-L 2022.04	87.5	-	-	-	-
Swin-L 2022.11	87.3	-	-	-	-
Swin-L 2021.12	87.3	-	-	-	-
EfficientNetV2-XL 2022.04	87.3	-	-	-	-
Swin-L 2022.04	87.3	-	-	-	-
ViT-H 2022.04	87.2	-	-	-	-
CSwin-B 2022.04	87	-	-	-	-
ConvNeXt-XL 2022.04	87	-	-	-	-
ViT-L 2022.04	87	-	-	-	-
DaViT-Base 2022.04	86.9	-	-	-	-
ConvNeXt-B 2022.01	86.8	-	-	-	-
EfficientNetV2-L 2022.04	86.8	-	-	-	-
ConvNeXt-B 2022.04	86.8	-	-	-	-
ViT-B 2022.04	86.7	-	-	-	-
RepLKNet-31L 2022.11	86.6	-	-	-	-
ConvNeXt-L 2022.04	86.6	-	-	-	-
CaiT-M48↑448Υ 2021.05	86.5	-	-	-	-
NfNet-F6 SAM 2021.05	86.5	-	-	-	-
MKD 2022.02	86.5	-	-	-	-
LV-ViT-L↑512 2021.04	86.4	-	-	-	-
Swin-Large 2022.04	86.4	-	-	-	-
Swin-B 2022.04	86.4	-	-	-	-
CaiT-M36↑448 2021.04	86.3	-	-	-	-
MViTv2-L 2021.12	86.3	-	-	-	-
Swin-L 2021.12	86.3	-	-	-	-
Swin-L 2022.04	86.3	-	-	-	-
Top-k SinkhornSort 2022.06	86.22	97.99	-	-	-
Top-k DiffSortNets 2022.06	86.21	98	-	-	-
LV-ViT-L↑448 2021.04	86.2	-	-	-	-
ViL-B-RPB 2021.12	86.2	-	-	-	-
EfficientNetV2-M 2022.04	86.2	-	-	-	-
ResNeXt-101 32x48d WSL 2022.06	86.06	97.8	-	-	-
NFNet-F5 2021.04	86	-	-	-	-
MViTv2-L 2021.12	86	-	-	-	-
NFNet-F4 2021.04	85.9	-	-	-	-
LV-ViT-L↑448 2021.04	85.9	-	-	-	-
MAE 2022.02	85.9	-	-	-	-
NFNet-F4 2021.12	85.9	-	-	-	-
CoAtNet-3 2021.12	85.8	-	-	-	-
ConvNeXt-B 2022.04	85.8	-	-	-	-
ViT-L↑384 (DeiT III) 2022.04	85.8	-	-	-	-
Fix-EfficientNet-B8 2021.04	85.7	-	-	-	-
NFNet-F3 2021.04	85.7	-	-	-	-
ViT-B 2022.04	85.7	-	-	-	-
EfficientNetV2-L 2022.04	85.7	-	-	-	-
MViTv2-B 2021.12	85.6	-	-	-	-
ViT-B/16 2022.04	85.5	-	-	-	-
ViT-L/16 2022.04	85.5	-	-	-	-
ConvNeXt-L-384 2022.04	85.5	-	-	-	-
ResNeXt-101 32x48d WSL 2022.06	85.43	97.57	-	-	-
IG-940M-1.5k ResNeXt-101 32x48d 2018.05	85.4	97.6	-	-	-
CaiT-S36↑384 2021.04	85.4	-	-	-	-
LV-ViT-M↑384 2021.04	85.4	-	-	-	-
CSWin-B 2021.07	85.4	-	-	-	-
CSWin-B 2021.07	85.4	-	-	-	-
CSWin-B 2021.07	85.4	-	-	-	-
CaiT-S 2021.11	85.4	-	-	-	-
R-152x4 2022.04	85.4	-	-	-	-
LV-ViT-L 2021.04	85.3	-	-	-	-
MViTv2-L 2021.12	85.3	-	-	-	-
BEIT 2022.02	85.2	-	-	-	-
MViTv2-B 2021.12	85.2	-	-	-	-

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