Contrastive Learning On Imagenet 1K
Metriken
ImageNet Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | ImageNet Top-1 Accuracy |
|---|---|
| large-scale-adversarial-representation | 61.3 |
| a-simple-framework-for-contrastive-learning | 69.3 |
| data-efficient-image-recognition-with | 48.7 |
| what-makes-for-good-views-for-contrastive | 73 |
| improved-baselines-with-momentum-contrastive | 71.1 |
| local-aggregation-for-unsupervised-learning | 60.2 |
| self-labelling-via-simultaneous-clustering-1 | 61.5 |
| momentum-contrast-for-unsupervised-visual | 60.6 |
| prototypical-contrastive-learning-of | 67.6 |
| prototypical-contrastive-learning-of | 61.5 |
| data-efficient-image-recognition-with | 63.8 |
| kernel-ssl-kernel-kl-divergence-for-self | 73.6 |
| unsupervised-feature-learning-via-non | 56.5 |
| self-supervised-learning-of-pretext-invariant | 63.6 |