Method

FAST_DETECTOR [FD]
[Anonymous Submission]

Submitted on 30 Mar. 2017 11:15 by
[Anonymous Submission]

Running time:0.01 s
Environment:GPU @ >3.5 Ghz (Python)

Method Description:
TBA
Parameters:
TBA
Latex Bibtex:
TBA

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) 82.34 % 72.64 % 60.31 %
Car (Orientation) 46.30 % 40.40 % 34.01 %
Pedestrian (Detection) 67.87 % 55.33 % 50.02 %
Pedestrian (Orientation) 33.68 % 27.90 % 25.17 %
Cyclist (Detection) 51.41 % 37.01 % 32.93 %
Cyclist (Orientation) 30.76 % 21.60 % 18.56 %
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