Finding hard faces with better proposals and classifier

Recent studies witnessed that deep CNNs significantly improve the performance of face detection in the wild. However, detecting faces with small scales, large pose variations, and occlusions is still challenging. In this paper, to detect challenging faces, we present a boosted faster RCNN (F-RCN) ve...

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Veröffentlicht in:	Machine vision and applications 2020-11, Vol.31 (7-8), Article 61
Hauptverfasser:	Zeng, Xiaoxing, Peng, Xiaojiang, Wang, Yali, Qiao, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Communications Engineering Computer Science Face recognition Feature maps Image Processing and Computer Vision Modules Networks Original Paper Pattern Recognition Performance enhancement Proposals Vision systems
Online-Zugang:	Volltext
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