Image Classification on Stylized-ImageNet
56.2Top-1 AccuracySIN
Evaluation Results
| Method | Links | |
|---|---|---|
| SINBackbone=ResNet-502020.10 | 56.2 | |
| MAE-H + DAT2022.09 | 32.77 | |
| LLEarch=ViT-H/14, train data=IN-1k, base_framework=MAE2022.12 | 31.15 | |
| LLEarch=ViT-H/14, train data=IN-1k, base_framework=MAE, augmentation=Edge Aug2022.12 | 30.94 | |
| LLEarch=ViT-L/16, train data=IN-1k, base_framework=MAE2022.12 | 29.52 | |
| LLEarch=ViT-L/16, train data=IN-1k, base_framework=MAE, augmentation=Edge Aug2022.12 | 29.32 | |
| AdvPropBackbone=EfficientNet-B7, Resolution=224x2242019.11 | 26.6 | |
| MAE-H2022.09 | 26.36 | |
| AdvPropBackbone=EfficientNet-B6, Resolution=224x2242019.11 | 25.9 | |
| VOLO-D5HAT=true, Resolution=224x2242022.04 | 25.9 | |
| LLEarch=ViT-B/16, train data=IN-1k, base_framework=MAE2022.12 | 24.9 | |
| DATBackbone=ViT-B/16, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Input Resolution=224x2242023.11 | 24.8 | |
| ViT-BHAT=true, Resolution=224x2242022.04 | 24.7 | |
| LLEarch=ViT-B/16, train data=IN-1k, base_framework=MAE, augmentation=Edge Aug2022.12 | 24.65 | |
| VOLO-D5HAT=false, Resolution=224x2242022.04 | 24.6 | |
| LLEarch=ViT-B/16, train data=IG-3.6B, base_framework=SWAG (FT)2022.12 | 24.45 | |
| AdvPropBackbone=EfficientNet-B5, Resolution=224x2242019.11 | 24.4 | |
| LLEarch=ViT-B/16, train data=IG-3.6B, base_framework=SWAG (FT), augmentation=Edge Aug2022.12 | 24.07 | |
| DADBackbone=ViT-B/16, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Input Resolution=224x2242023.11 | 23.4 | |
| AugReg-ViT + DAT2022.09 | 23.13 | |
| AdvPropBackbone=EfficientNet-B4, Resolution=224x2242019.11 | 22.5 | |
| Dr. ViTBackbone=ViT-B, Discrete Only=true2021.11 | 22.19 | |
| DeepAugment + Augmix + DAT2022.09 | 21.89 | |
| EfficientNet-B7Resolution=224x2242019.11 | 21.8 | |
| ViT-BHAT=false, Resolution=224x2242022.04 | 21.8 | |
| AdvPropBackbone=EfficientNet-B3, Resolution=224x2242019.11 | 21.4 | |
| DeepAugment + Augmix2022.09 | 21.23 | |
| DeepAugment + AugMixBackbone=ResNet-502020.10 | 21.2 | |
| VOLO-D1HAT=true, Resolution=224x2242022.04 | 21.2 | |
| EfficientNet-B6Resolution=224x2242019.11 | 20.9 | |
| EfficientNet-B5Resolution=224x2242019.11 | 20.8 | |
| EfficientNet-B4Resolution=224x2242019.11 | 20.2 | |
| ViT-B/16 + PyramidATBackbone=ViT-B/16, Resolution=512x512, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Adversarial Training=PyramidAT2021.11 | 19.84 | |
| Dr. ViTPre-trained=ImageNet-21K, Fine-tuned on=ImageNet, Resolution=384x384, Discrete representation=discrete only2021.11 | 19.69 | |
| Dr. ViTBackbone=ViT-B, Discrete Only=false2021.11 | 19.38 | |
| DrViT2022.09 | 19.38 | |
| VOLO-D1HAT=false, Resolution=224x2242022.04 | 19.2 | |
| Dr. ViTBackbone=ViT-S, Discrete Only=true2021.11 | 18.44 | |
| ViT-SHAT=true, Resolution=224x2242022.04 | 18.1 | |
| Dr. ViTPre-trained=ImageNet-21K, Fine-tuned on=ImageNet, Resolution=384x384, Discrete representation=true2021.11 | 18.05 | |
| AdvPropBackbone=EfficientNet-B2, Resolution=224x2242019.11 | 17.8 | |
| EfficientNet-B3Resolution=224x2242019.11 | 17.8 | |
| ViTBackbone=ViT-B/16, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Input Resolution=224x2242023.11 | 17.7 | |
| ViT-B/16 + PixelATBackbone=ViT-B/16, Resolution=512x512, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Adversarial Training=PixelAT2021.11 | 17.66 | |
| Shape-Texture Debiased TrainingBackbone=ResNet-502020.10 | 17.4 | |
| EfficientNet-B2Resolution=224x2242019.11 | 16.8 | |
| AdvPropBackbone=EfficientNet-B1, Resolution=224x2242019.11 | 16.7 | |
| AugReg-ViT2022.09 | 16.62 | |
| Swin-BHAT=true, Resolution=224x2242022.04 | 16.4 | |
| Dr. ViTPre-trained=ImageNet-21K, Fine-tuned on=ImageNet, Resolution=512x512, Discrete representation=true2021.11 | 16.02 | |
| ViT-SHAT=false, Resolution=224x2242022.04 | 15.8 | |
| Swin-BHAT=false, Resolution=224x2242022.04 | 15.7 | |
| LLEarch=ResNet-50, train data=IN-1k2022.12 | 15.25 | |
| Swin-SHAT=true, Resolution=224x2242022.04 | 15.1 | |
| EfficientNet-B1Resolution=224x2242019.11 | 15 | |
| LLEarch=ResNet-50, train data=IN-1k, augmentation=Edge Aug2022.12 | 14.72 | |
| DeepAugment2022.09 | 14.68 | |
| AdvPropBackbone=EfficientNet-B0, Resolution=224x2242019.11 | 14.6 | |
| CNFABackbone=Resnet-182024.07 | 14.4 | |
| Dr. ViTBackbone=ViT-S, Discrete Only=false2021.11 | 14.22 | |
| Swin-SHAT=false, Resolution=224x2242022.04 | 14.2 | |
| Dr. ViTBackbone=ViT-B, Resolution=384x3842021.11 | 14.06 | |
| Swin-THAT=true, Resolution=224x2242022.04 | 13.8 | |
| ViT-BPre-trained=ImageNet-21K, Fine-tuned on=ImageNet, Resolution=384x384, Discrete representation=false2021.11 | 13.59 | |
| Dr. ViTBackbone=ViT-Ti, Discrete Only=true2021.11 | 13.44 | |
| ViT-B/16Backbone=ViT-B/16, Resolution=512x512, Pre-training=ImageNet-21K, Fine-tuning=ImageNet-1K, Adversarial Training=None2021.11 | 13.44 | |
| CFABackbone=Resnet-182024.07 | 13.3 | |
| EfficientNet-B0Resolution=224x2242019.11 | 13.1 | |
| Swin-THAT=false, Resolution=224x2242022.04 | 13.1 | |
| Dr. ViTBackbone=MLPMixer, Discrete Only=false2021.11 | 13.05 | |
| NCLBackbone=Resnet-182024.07 | 12.7 | |
| ViT-THAT=true, Resolution=224x2242022.04 | 12.5 | |
| CLBackbone=Resnet-182024.07 | 12.3 | |
| ResNet50 + DAT2022.09 | 10.8 | |
| ViT-SBackbone=ViT-S2021.11 | 10.39 | |
| ViT-BBackbone=ViT-B2021.11 | 10.39 | |
| AdaBNTraining Augmentations=false2021.03 | 10.2 | |
| ViT-THAT=false, Resolution=224x2242022.04 | 9.5 | |
| Dr. ViTBackbone=MLPMixer, Discrete Only=true2021.11 | 8.98 | |
| Dr. ViTBackbone=ViT-B, Data Augmentation=Dosovitskiy et al., 2020, Discrete Only=true2021.11 | 8.94 | |
| AdaBNTraining Augmentations=true2021.03 | 8.4 | |
| ResNet-50Resolution=224x2242019.11 | 8 | |
| ViT-BBackbone=ViT-B, Resolution=384x3842021.11 | 7.58 | |
| Hybrid ViT-BBackbone=Hybrid ViT-B2021.11 | 7.5 | |
| Hybrid ViT-SBackbone=Hybrid ViT-S2021.11 | 7.42 | |
| ResNet-50Backbone=ResNet-502020.10 | 7.4 | |
| ResNet502022.09 | 7.38 | |
| MLPMixerBackbone=MLPMixer2021.11 | 7.03 | |
| ResNet-50Backbone=ResNet-502021.11 | 6.56 | |
| ViT-TiBackbone=ViT-Ti2021.11 | 6.17 | |
| ViT-B VanillaBackbone=ViT-B, Data Augmentation=Dosovitskiy et al., 20202021.11 | 5.94 | |
| ViT2022.09 | 5.82 | |
| CutMix + MoExBackbone=ResNet-502020.10 | 5 |