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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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 17. Dez., Seite 9052-9071
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| 1. Verfasser: |
Gui, Jie
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Tuo,
Zhang, Jing,
Cao, Qiong,
Sun, Zhenan,
Luo, Hao,
Tao, Dacheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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