MM-MRFC [la][fl] [MM-MRFC]
[Anonymous Submission]

Submitted on 22 Nov. 2016 16:23 by
[Anonymous Submission]

Running time:0.05 s
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
CVPR 2017 Submission ID 3054
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) 90.93 % 88.20 % 78.02 %
Pedestrian (Detection) 82.37 % 69.96 % 64.76 %
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