Method

SECOND [SECOND]
[Anonymous Submission]

Submitted on 27 Oct. 2018 03:31 by
[Anonymous Submission]

Running time:0.05 s
Environment:4 cores @ 3.5 Ghz (C/C++)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
@article{yan2018second,
title={SECOND: Sparsely Embedded Convolutional
Detection},
author={Yan, Yan and Mao, Yuxing and Li, Bo},
journal={Sensors},
volume={18},
number={10},
pages={3337},
year={2018},
publisher={Multidisciplinary Digital Publishing
Institute}
}

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) 90.40 % 88.40 % 80.21 %
Car (Orientation) 87.84 % 81.31 % 71.95 %
Car (3D Detection) 83.13 % 73.66 % 66.20 %
Car (Bird's Eye View) 88.07 % 79.37 % 77.95 %
Pedestrian (Detection) 65.73 % 55.74 % 49.08 %
Pedestrian (Orientation) 51.56 % 43.51 % 38.78 %
Pedestrian (3D Detection) 51.07 % 42.56 % 37.29 %
Pedestrian (Bird's Eye View) 55.10 % 46.27 % 44.76 %
Cyclist (Detection) 81.96 % 58.94 % 57.20 %
Cyclist (Orientation) 80.97 % 57.20 % 55.14 %
Cyclist (3D Detection) 70.51 % 53.85 % 46.90 %
Cyclist (Bird's Eye View) 73.67 % 56.04 % 48.78 %
This table as LaTeX


2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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