Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank

For many applications the collection of labeled data is expensive laborious. Exploitation of unlabeled data during training is thus a long pursued objective of machine learning. Self-supervised learning addresses this by positing an auxiliary task (different, but related to the supervised task) for...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 8 vom: 22. Aug., Seite 1862-1878
1. Verfasser:	Liu, Xialei (VerfasserIn)
Weitere Verfasser:	Weijer, Joost van de, Bagdanov, Andrew D
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article