A study of the generalizability of self-supervised representations
Recent advancements in self-supervised learning (SSL) made it possible to learn generalizable visual representations from unlabeled data. The performance of Deep Learning models fine-tuned on pretrained SSL representations is on par with models fine-tuned on the state-of-the-art supervised learning...
Guardat en:
| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2021-12-01
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| Col·lecció: | Machine Learning with Applications |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666827021000621 |
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