Method

Voxel Feature Pyramid Network [Voxel-FPN]
[Anonymous Submission]

Submitted on 8 Feb. 2019 16:07 by
[Anonymous Submission]

Running time:0.02 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
One stage 3D detector based on VoxelNet
Multi-scale voxelized feature aggregation
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) 90.51 % 89.60 % 80.78 %
Car (Orientation) 90.23 % 88.92 % 80.02 %
Car (3D Detection) 85.57 % 75.95 % 67.84 %
Car (Bird's Eye View) 88.96 % 80.17 % 79.14 %
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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