part and context network for pedestrian detection [PCN]

Submitted on 11 Jul. 2017 07:54 by
wang shiguang (uestc)

Running time:0.6 s

Method Description:
PCN specially utilizes two sub-networks which
detect the pedestrians through body parts semantic information and context information,
Latex Bibtex:

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).

Benchmark Easy Moderate Hard
Pedestrian (Detection) 80.08 % 63.41 % 58.55 %
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2D object detection results.
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