Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model

Material attribute recognition from the visual appearance of attributes is an important problem in computer vision field. However, few works model the hierarchical relationship between material attributes and their deep-level semantics that occurs in the same image. Meanwhile, single image feature i...

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Vydáno v:	Applied soft computing Ročník 80; s. 57 - 79
Hlavní autoři:	Zhang, Hongbin, Qiu, Diedie, Wu, Renzhong, Deng, Yixiong, Ji, Donghong, Li, Tao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2019
Témata:	Effective range-based gene selection eXtreme gradient boosting Image attribute annotation Material attribute classification Relative attribute Effective range-based gene selection Relative attribute eXtreme gradient boosting Material attribute classification Image attribute annotation
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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