Method

feature pyramid network [FPN]
[Anonymous Submission]

Submitted on 6 Sep. 2017 01:12 by
[Anonymous Submission]

Running time:5 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
adjusted FPN
Parameters:
P = 4
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) 89.45 % 79.48 % 69.81 %
This table as LaTeX


2D object detection results.
This figure as: png eps pdf txt gnuplot




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