ML Research Wiki / Benchmarks / Data Augmentation / ImageNet

ImageNet

Data Augmentation Benchmark

Performance Over Time

📊 Showing 17 results | 📏 Metric: Accuracy (%)

Top Performing Models

Rank Model Paper Accuracy (%) Date Code
1 DeiT-B (+MixPro) MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer 82.90 2023-04-24 📦 fistyee/mixpro
2 ResNet-200 (DeepAA) Deep AutoAugment 81.32 2022-03-11 📦 msu-mlsys-lab/deepaa
3 DeiT-S (+MixPro) MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer 81.30 2023-04-24 📦 fistyee/mixpro
4 ResNet-200 (Fast AA) Fast AutoAugment 80.60 2019-05-01 📦 kakaobrain/fast-autoaugment 📦 ildoonet/pytorch-randaugment 📦 philip-bachman/amdim-public
5 ResNet-200 (UA) UniformAugment: A Search-free Probabilistic Data Augmentation Approach 80.40 2020-03-31 📦 tgilewicz/uniformaugment
6 ResNet-200 (AA) AutoAugment: Learning Augmentation Policies from Data 80.00 2018-05-24 📦 tensorflow/models 📦 tensorflow/models 📦 pytorch/vision
7 ResNet-50 (DeepAA) Deep AutoAugment 78.30 2022-03-11 📦 msu-mlsys-lab/deepaa
8 ResNet-50 (TA wide) TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation 78.07 2021-03-18 📦 pytorch/vision 📦 automl/trivialaugment
9 ResNet-50 (LoRot-E) Tailoring Self-Supervision for Supervised Learning 77.72 2022-07-20 📦 wjun0830/localizable-rotation
10 ResNet-50 (LoRot-I) Tailoring Self-Supervision for Supervised Learning 77.71 2022-07-20 📦 wjun0830/localizable-rotation

All Papers (17)