Method

R-CNN based on VGG [R-CNN_VGG]


Submitted on 28 Nov. 2015 17:13 by
Shufeng Wang (SCUT)

Running time:10 s
Environment:GPU @ 2.5 Ghz (Matlab + C/C++)

Method Description:
experiments on VGG16 network
Parameters:
none
Latex Bibtex:
none

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) 32.23 % 26.04 % 20.93 %
Pedestrian (Detection) 28.95 % 23.16 % 22.17 %
Cyclist (Detection) 37.71 % 28.79 % 25.82 %
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