New Method [FCNN]
[Anonymous Submission]

Submitted on 27 Apr. 2016 10:55 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
We utilize a fully based convolution neural network to
train the neural network for object detection.
no parameters especial
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) 88.04 % 70.67 % 61.50 %
Car (Orientation) 35.35 % 28.85 % 25.25 %
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