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Image Classification on CIFAR-10 (test) (Accuracy)

99.1Accuracy

DeiT-B

Updated 3d ago

Evaluation Results

Method
DeiT-B 2021.04	99.1	-	-	-	-
DeiT-B-384 2021.04	99.1	-	-	-	-
EfficientNetV2-L 2021.04	99.1	-	-	-	-
DeiT-B 2021.02	99.1	-	-	-	-
TNT-B 2021.02	99.1	-	-	-	-
GPipe (AmoebaNet-B (18, 512)) 2018.11	99	-	-	-	-
GPipe 2021.04	99	-	-	-	-
EfficientNetV2-M 2021.04	99	-	-	-	-
EfficientNet-B7 2021.04	98.9	-	-	-	-
WideNet-L 2021.07	98.8	-	-	-	-
EfficientNetV2-S 2021.04	98.7	-	-	-	-
R50+ViT-B_16 2021.06	98.7	-	-	-	-
EfficientNet-B5 2021.02	98.7	-	-	-	-
TNT-S 2021.02	98.7	-	-	-	-
ViT-B/16-SAM 2021.06	98.6	-	-	-	-
Cubuk et al. 2018.11	98.5	-	-	-	-
ViT-MoE-B 2021.07	98.5	-	-	-	-
ViT-MoE-L 2021.07	98.5	-	-	-	-
WideNet-B 2021.07	98.4	-	-	-	-
ViT-B 2021.07	98.3	-	-	-	-
FairNAS-A 2019.07	98.2	-	-	-	-
ViT-L 2021.07	98.2	-	-	-	-
ResNet-152-SAM 2021.06	98.2	-	-	-	-
ViT-S/16-SAM 2021.06	98.2	-	-	-	-
ViT-B/16 2021.04	98.1	-	-	-	-
EfficientNet-B0 2019.07	98.1	-	-	-	-
FairNAS-B 2019.07	98.1	-	-	-	-
ViT-B_16 2021.06	98.1	-	-	-	-
ViT-B/16 2021.02	98.1	-	-	-	-
ViT-B/16 2021.06	98.1	-	-	-	-
NASNet-A Large 2019.07	98	-	-	-	-
FairNAS-C 2019.07	98	-	-	-	-
ViT-L/32 2021.04	97.9	-	-	-	-
ViT-L/16 2021.04	97.9	-	-	-	-
MixNet-M 2019.07	97.9	-	-	-	-
ViT-B/32 2021.04	97.8	-	-	-	-
Mixer-B/16-SAM 2021.06	97.8	-	-	-	-
MIM-DARTS 2022.11	97.71	-	-	-	-
ViT-S/16 2021.06	97.6	-	-	-	-
CyDAS 2022.11	97.6	-	-	-	-
MIM-DARTS 2022.11	97.59	-	-	-	-
MLP-Mixer-B_16 2021.06	97.58	-	-	-	-
NoisyDARTS 2020.05	97.53	-	-	-	-
SDARTS-ADV 2020.05	97.51	-	-	-	-
P-DARTS 2022.11	97.5	-	-	-	-
RDARTS-L2 2020.05	97.49	-	-	-	-
BiT-M R50x1 2021.06	97.47	-	-	-	-
SDARTS-RS 2020.05	97.47	-	-	-	-
NoisyDARTS 2020.05	97.42	-	-	-	-
ResNet-50-SAM 2021.06	97.4	-	-	-	-
P-DARTS 2022.11	97.38	-	-	-	-
Non-Private 2026.01	97.37	-	-	-	-
BiT-M R101x3 2021.06	97.36	-	-	-	-
NASNet-A 2022.11	97.35	-	-	-	-
NoisyDARTS 2020.05	97.29	-	-	-	-
SDARTS-ADV 2020.05	97.27	-	-	-	-
NoisyDARTS 2020.05	97.27	-	-	-	-
RDARTS-L2 2020.05	97.22	-	-	-	-
SDARTS-RS 2020.05	97.22	-	-	-	-
NoisyDARTS 2020.05	97.22	-	-	-	-
MaxUp + Cutout 2020.02	97.18	-	-	-	-
SWA 2018.03	97.16	-	-	-	-
SDARTS-ADV 2020.05	97.13	-	-	-	-
SWA 2018.03	97.12	-	-	-	-
SDARTS-RS 2020.05	97.07	-	-	-	-
GDAS 2022.11	97.07	-	-	-	-
NoisyDARTS 2020.05	97.05	-	-	-	-
RDARTS-ADA 2020.05	97.01	-	-	-	-
RDARTS-ADA 2020.05	96.97	-	-	-	-
OT-MDR 2023.06	96.97	-	-	-	-
RDARTS-ES 2020.05	96.95	-	-	-	-
SGD 2018.03	96.93	-	-	-	-
Cutout 2020.02	96.92	-	-	-	-
SWA 2018.03	96.79	-	-	-	-
SAM 2023.06	96.72	-	-	-	-
NoisyDARTS 2020.05	96.71	-	-	-	-
SAM-IRE 2024.05	96.7	-	-	-	-
RDARTS-L2 2020.05	96.69	-	-	-	-
SDARTS-RS 2020.05	96.67	-	-	-	-
SWA 2018.03	96.64	-	-	-	-
OT-MDR 2023.06	96.61	-	-	-	-
RDARTS-ES 2020.05	96.59	-	-	-	-
NoisyDARTS 2020.05	96.59	-	-	-	-
SDARTS-ADV 2020.05	96.59	-	-	-	-
SAM 2024.05	96.58	-	-	-	-
SWA 2018.03	96.45	-	-	-	-
RDARTS-L2 2020.05	96.44	-	-	-	-
RDARTS-ADA 2020.05	96.41	-	-	-	-
FGE 2018.03	96.36	-	-	-	-
RDARTS-ES 2020.05	96.29	-	-	-	-
SGD-IRE 2024.05	96.24	-	-	-	-
SAM 2023.06	96.2	-	-	-	-
SGD 2018.03	96.18	-	-	-	-
RDARTS-ADA 2020.05	96.11	-	-	-	-
Mixer-S/16-SAM 2021.06	96.1	-	-	-	-
WRN 28-10 2017.03	96	-	-	-	-
DARTS 2020.05	95.88	-	-	-	-
SGD 2024.05	95.84	-	-	-	-
SWA 2018.03	95.83	-	-	-	-
RDARTS-ES 2020.05	95.83	-	-	-	-

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