MSAGNet: Multi-Stream Attribute-Guided Network for Occluded Pedestrian Detection

Pedestrian detection plays an indispensable role in human-centric applications. Although having enjoyed the merits of generic object detectors based on deep learning frameworks, pedestrian detection is still a persistent crucial task since the pedestrians often gather together and occlude each other...

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Veröffentlicht in:	IEEE signal processing letters 2022, Vol.29, p.1-5
Hauptverfasser:	Zhang, Hong, Yan, Chaoqi, Li, Xuliang, Yang, Yifan, Yuan, Ding
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations bounding box regression deep learning Detectors false positives Feature extraction Measurement Non-Maximum Suppression Pedestrian detection Pedestrians Proposals Task analysis
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