Image Classification on ImageNet (1%)
81.6Top-1 AccuracyREACT
Evaluation Results
| Method | Links | |
|---|---|---|
| REACTBackbone=ViT-L, Protocol=REACT2023.11 | 81.6 | |
| Meta Co-TrainingBackbone=MLP, Trained on large model embeddings=true, Protocol=Meta Co-Training2023.11 | 80.7 | |
| CLIPBackbone=ViT-L, Protocol=Fine-tuned2023.11 | 80.5 | |
| Co-TrainingBackbone=MLP, Trained on large model embeddings=true, Protocol=Co-Training2023.11 | 80.1 | |
| Deep EnsembleTrained on large model embeddings=true, Protocol=Deep Ensemble2023.11 | 80 | |
| DINOv2Backbone=ViT-L, Protocol=Linear2023.11 | 78.1 | |
| Semi-ViTBackbone=ViT-L, Protocol=Self-trained2023.11 | 77.3 | |
| SimCLRv2Backbone=ResNet152-w2, Protocol=Fine-tuned2023.11 | 74.2 | |
| EsViTBackbone=Swin-B, W=14, Protocol=Linear2023.11 | 69.1 | |
| SWAVBackbone=RN50-w4, Protocol=Fine-tuned2023.11 | 53.9 | |
| MAEBackbone=ViT-L, Protocol=MLP2023.11 | 23.4 |