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Image Classification on ImageNet V2

84.84Top-1 Acc

Best model on each test set (oracle)

Updated 2d ago

Evaluation Results

Method
Best model on each test set (oracle) 2022.03	84.84	-	-	-	-	-	-
Greedy ensemble 2022.03	84.65	-	-	-	-	-	-
22B ema 2023.02	84.65	-	-	-	-	-	-
Greedy soup 2022.03	84.63	-	-	-	-	-	-
Best model on held out val set 2022.03	84.42	-	-	-	-	-	-
e/14 ema 2023.02	84.38	-	-	-	-	-	-
22B 2023.02	84.38	-	-	-	-	-	-
ViT-e/14 2023.02	84.3	-	-	-	-	-	-
22B 2023.02	84.28	-	-	-	-	-	-
ViT-G/14 greedy soup 2022.03	84.22	-	-	-	-	-	-
SwinV2 2023.03	84	-	-	-	-	-	-
MAWS 2023.03	84	-	-	-	-	-	-
e/14 ema 2023.02	83.95	-	-	-	-	-	-
APM 2024.10	83.9	-	-	-	-	-	-
PaLI-X 2023.05	83.66	-	-	-	-	-	-
g/14 ema 2023.02	83.61	-	-	-	-	-	-
G/14 ema 2023.02	83.53	-	-	-	-	-	-
PaLI-X 2023.05	83.48	-	-	-	-	-	-
Lion 2023.02	83.39	-	-	-	-	-	-
ViT/G-14 2022.03	83.33	-	-	-	-	-	-
ViT-G/14 2023.02	83.33	-	-	-	-	-	-
Adafactor 2023.02	83.33	-	-	-	-	-	-
ViT G/14 2022.01	83.3	-	-	-	-	-	-
Scale-ViT 2023.03	83.3	-	-	-	-	-	-
ViT-22B 2023.12	83.2	-	-	-	-	-	-
ViT-22B 2023.02	83.15	-	-	-	-	-	-
Adafactor 2023.02	83.1	-	-	-	-	-	-
MAWS 2023.03	83	-	-	-	-	-	-
ViT-e/14 2023.02	82.51	-	-	-	-	-	-
MAWS 2023.03	82.3	-	-	-	-	-	-
Lion 2023.02	82.24	-	-	-	-	-	-
PaLI-X 2023.05	81.42	-	-	-	-	-	-
ViT-H/14 2023.02	81.41	-	-	-	-	-	-
ViT-G/14 2023.02	81.32	-	-	-	-	-	-
Lion 2023.02	81.2	-	-	-	-	-	-
Lion 2023.02	81.13	-	-	-	-	-	-
AdamW 2023.02	81.12	-	-	-	-	-	-
ViT H/14 2022.01	81.1	-	-	-	-	-	-
ViT-g/14 2023.02	81.1	-	-	-	-	-	-
SWAG 2023.03	81.1	-	-	-	-	-	-
FixNoisy-L2 2023.02	80.8	-	-	-	-	-	-
L/16 2023.02	80.74	-	-	-	-	-	-
OpenCLIP-VIT-H/14 2024.10	80.7	-	-	-	-	-	-
CoCa 2022.05	80.7	-	-	-	-	-	-
CoCa 2022.03	80.7	-	-	-	-	-	-
CoCa 2022.09	80.7	-	-	-	-	-	-
BASIC 2022.05	80.6	-	-	-	-	-	-
BASIC-L 2022.03	80.6	-	-	-	-	-	-
BASIC 2021.11	80.6	-	-	-	-	-	-
Adafactor 2023.02	80.6	-	-	-	-	-	-
BASIC 2022.09	80.6	-	-	-	-	-	-
LiT ViT-e 2022.09	80.6	-	-	-	-	-	-
ReLabel 2021.01	80.5	-	-	-	-	-	-
ViT-L/16 2023.02	80.48	-	-	-	-	-	-
ViT L/16 2022.01	80.4	-	-	-	-	-	-
RegNetY 128GF 2022.01	80.4	-	-	-	-	-	-
ViT-L/16 2023.02	80.4	-	-	-	-	-	-
Scale-ViT 2023.03	80.4	-	-	-	-	-	-
ViT L/16 2022.01	80.3	-	-	-	-	-	-
NS EfficientNet-L2 2021.02	80.2	-	-	-	-	-	-
EfficientNet L2 2022.01	80.2	-	-	-	-	-	-
ViT-H/14 2023.02	80.1	-	-	-	-	-	-
ViT-H – cosub 2022.12	80	-	-	-	-	-	-
InternViT-6B 2023.12	79.9	-	-	-	-	-	-
LiT 2021.11	79.8	-	-	-	-	-	-
AdamW 2023.02	79.8	-	-	-	-	-	-
LiT ViT-g 2022.09	79.8	-	-	-	-	-	-
CoCa-Large 2022.05	79.6	-	-	-	-	-	-
Label smoothing 2021.01	79.5	-	-	-	-	-	-
WiSE-FT 2021.09	79.5	-	-	-	-	-	-
WiSE-FT 2021.09	79.5	-	-	-	-	-	-
ViT-L/16 2023.02	79.29	-	-	-	-	-	-
ViT-H – DeiT-III 2022.12	79.2	-	-	-	-	-	-
Label cleaning 2021.01	79.1	-	-	-	-	-	-
ViT-L – cosub 2022.12	79.1	-	-	-	-	-	-
Original 2021.01	79	-	-	-	-	-	-
ViT-L/16 2023.02	78.91	-	-	-	-	-	-
PaLI 2023.05	78.91	-	-	-	-	-	-
MAE-H + DAT 2022.09	78.82	-	-	-	-	-	-
LiT 2022.05	78.7	-	-	-	-	-	-
ViT-L – DeiT-III 2022.12	78.6	-	-	-	-	-	-
ViT-L/16 2023.02	78.57	-	-	-	-	-	-
MAE-H 2022.09	78.47	-	-	-	-	-	-
DINOv2-g 2023.12	78.4	-	-	-	-	-	-
DFN5B-CLIP-H/14+ 2024.02	78.3	-	-	-	-	-	-
PaLI 2023.05	78.23	-	-	-	-	-	-
B/16 2023.02	78.21	-	-	-	-	-	-
RegNetY 32GF 2022.01	78.2	-	-	-	-	-	-
EfficientNet B7 2022.01	78.1	-	-	-	-	-	-
Swin-L – cosub 2022.12	78.1	-	-	-	-	-	-
ViT-L/16 2023.02	78.03	-	-	-	-	-	-
FixResNeXt101-32x48d V2 2021.02	78	-	-	-	-	-	-
XCiT-M24 – cosub 2022.12	78	-	-	-	-	-	-
EVA-CLIP-18B 2024.02	77.9	-	-	-	-	-	-
DHO 2025.05	77.8	-	-	-	-	-	-
XCiT-L24 – cosub 2022.12	77.8	-	-	-	-	-	-
EVA-CLIP-8B 2024.02	77.7	-	-	-	-	-	-
EVA-01-CLIP-g 2023.12	77.4	-	-	-	-	-	-
DFN5B-CLIP-H/14 2024.02	77.4	-	-	-	-	-	-
InternVL-C 2024.02	77.3	-	-	-	-	-	-

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