Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise

Image classification is a key task in image understanding, and multi-label image classification has become a popular topic in recent years. However, the success of multi-label image classification is closely related to the way of constructing a training set. As active learning aims to construct an e...

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Veröffentlicht in:	ACM computing surveys 2020-06, Vol.53 (2), p.1-35, Article 28
Hauptverfasser:	Wu, Jian, Sheng, Victor S., Zhang, Jing, Li, Hua, Dadakova, Tetiana, Swisher, Christine Leon, Cui, Zhiming, Zhao, Pengpeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Algorithms Annotations Classification Computer science Image classification Machine learning Machine learning theory Sampling Theory and algorithms for application domains Theory of computation Training
Online-Zugang:	Volltext
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