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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Veröffentlicht in:	Applied soft computing Jg. 80; S. 57 - 79
Hauptverfasser:	Zhang, Hongbin, Qiu, Diedie, Wu, Renzhong, Deng, Yixiong, Ji, Donghong, Li, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2019
Schlagworte:	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
Online-Zugang:	Volltext
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