Method

Aggregated Views Object Detection [la] [AVOD]
[Anonymous Submission]

Submitted on 14 Dec. 2017 00:49 by
[Anonymous Submission]

Running time:0.08 s
Environment:Titan X (pascal)

Method Description:
Final version. The only difference from previous
versions is that we trained on 85% of the
training data instead of 50 %.

Furthermore, added alpha value to evaluate
orientation estimation in conjunction to 2D
performance.
Parameters:
TBD
Latex Bibtex:
TBD

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) 89.73 % 88.08 % 80.14 %
Car (Orientation) 89.59 % 87.46 % 79.54 %
Car (3D Detection) 73.59 % 65.78 % 58.38 %
Car (Bird's Eye View) 86.80 % 85.44 % 77.73 %
Pedestrian (Detection) 51.64 % 43.49 % 37.79 %
Pedestrian (Orientation) 44.12 % 36.38 % 31.81 %
Pedestrian (3D Detection) 38.28 % 31.51 % 26.98 %
Pedestrian (Bird's Eye View) 42.51 % 35.24 % 33.97 %
Cyclist (Detection) 65.72 % 56.01 % 48.89 %
Cyclist (Orientation) 64.36 % 54.43 % 47.67 %
Cyclist (3D Detection) 60.11 % 44.90 % 38.80 %
Cyclist (Bird's Eye View) 63.66 % 47.74 % 46.55 %
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.
This figure as: png eps pdf txt gnuplot




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