Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Pre trained wide-resnet-101 | 97.76 | No | ProgressiveSpinalNet architecture for FC layers | 2021-03-21 | Code |
| 2 | Wide-ResNet-101 (Spinal FC) | 97.32 | Yes | SpinalNet: Deep Neural Network with Gradual Input | 2020-07-07 | Code |
| 3 | ResNeXt-101-32x8d | 95.58 | No | Dead Pixel Test Using Effective Receptive Field | 2021-08-31 | Code |
| 4 | Bamboo (ViT-B/16) | 94.8 | Yes | Bamboo: Building Mega-Scale Vision Dataset Conti... | 2022-03-15 | Code |
| 5 | SEER (RegNet10B - linear eval) | 91 | Yes | Vision Models Are More Robust And Fair When Pret... | 2022-02-16 | Code |
| 6 | UL-Hopfield (ULH) | 91 | No | Unsupervised Learning using Pretrained CNN and A... | 2018-05-02 | - |