Data Augmentation on ImageNet

Metric: Accuracy (%) (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy (%)▼	Augmentations	Paper	Date↕	Code
1	DeiT-B (+MixPro)	82.9	No	MixPro: Data Augmentation with MaskMix and Progr...	2023-04-24	Code
2	ResNet-200 (DeepAA)	81.32	No	Deep AutoAugment	2022-03-11	Code
3	DeiT-S (+MixPro)	81.3	No	MixPro: Data Augmentation with MaskMix and Progr...	2023-04-24	Code
4	ResNet-200 (Fast AA)	80.6	No	Fast AutoAugment	2019-05-01	Code
5	ResNet-200 (UA)	80.4	No	UniformAugment: A Search-free Probabilistic Data...	2020-03-31	Code
6	ResNet-200 (AA)	80	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
7	ResNet-50 (DeepAA)	78.3	No	Deep AutoAugment	2022-03-11	Code
8	ResNet-50 (TA wide)	78.07	No	TrivialAugment: Tuning-free Yet State-of-the-Art...	2021-03-18	Code
9	ResNet-50 (LoRot-E)	77.72	No	Tailoring Self-Supervision for Supervised Learning	2022-07-20	Code
10	ResNet-50 (LoRot-I)	77.71	No	Tailoring Self-Supervision for Supervised Learning	2022-07-20	Code
11	ResNet-50 (UA)	77.63	No	UniformAugment: A Search-free Probabilistic Data...	2020-03-31	Code
12	ResNet-50 (AA)	77.6	No	AutoAugment: Learning Augmentation Policies from...	2018-05-24	Code
13	ResNet-50 (Fast AA)	77.6	No	Fast AutoAugment	2019-05-01	Code
14	ResNet-50 (RA)	77.6	No	RandAugment: Practical automated data augmentati...	2019-09-30	Code
15	ResNet-50 (DADA)	77.5	No	DADA: Differentiable Automatic Data Augmentation	2020-03-08	Code
16	ResNet-50 (Faster AA)	76.5	No	Faster AutoAugment: Learning Augmentation Strate...	2019-11-16	Code
17	DeiT-T (+MixPro)	73.8	No	MixPro: Data Augmentation with MaskMix and Progr...	2023-04-24	Code