Method

PVGNet: Integrating Multi-Level Features for One-Stage 3D Object Detection [PVGNet]
[Anonymous Submission]

Submitted on 10 Aug. 2020 20:13 by
[Anonymous Submission]

Running time:0.05 s
Environment:1 core @ >3.5 Ghz (C/C++)

Method Description:
TBA
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) 96.87 % 95.80 % 93.05 %
Car (Orientation) 43.04 % 40.79 % 39.42 %
Car (3D Detection) 89.94 % 81.81 % 77.09 %
Car (Bird's Eye View) 94.36 % 91.26 % 86.63 %
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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