A Survey on Self-Supervised Learning : Algorithms, Applications, and Future Trends
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and time-consuming. Self-supervised learning (SSL), a subset of unsupervised learning, aims to learn di...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 17. Dez., Seite 9052-9071
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| Auteur principal: |
Gui, Jie
(Auteur) |
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| Autres auteurs: |
Chen, Tuo,
Zhang, Jing,
Cao, Qiong,
Sun, Zhenan,
Luo, Hao,
Tao, Dacheng |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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