Method

SSL-RTM3D: Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training [SSL-RTM3D Res18]
[Anonymous Submission]

Submitted on 26 May. 2020 02:23 by
[Anonymous Submission]

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

Method Description:
SSL-RTM3D with ResNet-18 backbone
Parameters:
ResNet-18
Latex Bibtex:
None

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) 93.35 % 82.97 % 73.11 %
Car (Orientation) 93.13 % 82.43 % 72.47 %
Car (3D Detection) 12.65 % 8.39 % 7.12 %
Car (Bird's Eye View) 19.71 % 13.37 % 11.10 %
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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