Zero Shot Transfer Image Classification On 17
Metriken
Top 1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| MAWS (ViT-2B) | 96.2 | The effectiveness of MAE pre-pretraining for billion-scale pretraining |
| EVA-CLIP-18B | 95.8 | EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters |
| 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 |
| Diffusion Classifier (zero-shot) | 77.7 | Your Diffusion Model is Secretly a Zero-Shot Classifier |
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