Fast On-road Object Detector with the Fusion of Object and Scene CNN Features [SceneNet]

Submitted on 13 Mar. 2017 06:20 by
Zongying Shen (National Taiwan University)

Running time:0.03 s
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
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
Car (Detection) 87.90 % 77.34 % 68.38 %
Car (Orientation) 36.62 % 32.02 % 28.46 %
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