Method

LSNet: Learned Sampling Network for 3D Object Detection from Point Clouds [LSNet]


Submitted on 11 Dec. 2020 08:30 by
Mingming Wang (University of Shanghai for Science and Technology)

Running time:0.09 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
TBD
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) 96.06 % 92.23 % 87.35 %
Car (3D Detection) 86.13 % 73.55 % 68.58 %
Car (Bird's Eye View) 92.12 % 85.89 % 80.80 %
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2D object detection results.
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3D object detection results.
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Bird's eye view results.
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