Zero Shot Transfer Image Classification On 17
Metrics
Top 1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | Top 1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| InternVL-C | 95.3 | InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks | - |
| EVA-CLIP-E/14+ | 94.9 | EVA-CLIP: Improved Training Techniques for CLIP at Scale | - |
| EVA-CLIP-18B | 95.8 | EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters | - |
| Diffusion Classifier (zero-shot) | 77.7 | Your Diffusion Model is Secretly a Zero-Shot Classifier | - |
| MAWS (ViT-2B) | 96.2 | The effectiveness of MAE pre-pretraining for billion-scale pretraining | - |
0 of 5 row(s) selected.