Method

2D object Detector and 3D object Detector Head [Ghost3D object detec]
[Anonymous Submission]

Submitted on 5 Oct. 2022 10:36 by
[Anonymous Submission]

Running time:0.03 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
2D object detector and the bboxes is fed to a 3D
object estimation head
Parameters:
alpha = 0.2
Latex Bibtex:

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) 85.65 % 75.21 % 67.60 %
Car (Orientation) 84.74 % 73.34 % 65.14 %
Car (Bird's Eye View) 0.00 % 0.00 % 0.00 %
This table as LaTeX

2D object detection results.
This figure as: png eps txt gnuplot



Orientation estimation results.
This figure as: png eps txt gnuplot




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