Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm

Scene text detection is an important and challenging task in computer vision. For detecting arbitrarily-shaped texts, most existing methods require heavy data labeling efforts to produce polygon-level text region labels for supervised training. In order to reduce the cost in data labeling, we study...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 31; S. 5513 - 5528
Hauptverfasser:	Zhao, Mengbiao, Feng, Wei, Yin, Fei, Zhang, Xu-Yao, Liu, Cheng-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Annotations Benchmark testing Benchmarks Computer vision Costs Data models Datasets Detectors expectation-maximization algorithm Labeling Labels Maximization Mixed-supervised learning Optimization Polygons scene text detection Supervised learning Training weak supervision forms
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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