Method

Disentangling Monocular 3D Object Detection [MonoDIS]
[Anonymous Submission]

Submitted on 22 Mar. 2019 11:51 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
We are disentangling dependencies of parameters
using a novel loss formulation.
Parameters:
-
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) 90.31 % 87.58 % 76.85 %
Car (3D Detection) 11.81 % 15.12 % 12.71 %
Car (Bird's Eye View) 18.88 % 19.08 % 17.41 %
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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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