Method

Robust Feature Aggregation for 3D Object Detection [RFA]
[Anonymous Submission]

Submitted on 31 Dec. 2022 04:57 by
[Anonymous Submission]

Running time:0.1s
Environment:GPU @ 2 Ghz (python)

Method Description:
A robust Multi-modal method for small objects
Parameters:
epoch=80
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
Pedestrian (Detection) 66.02 % 57.00 % 53.63 %
Pedestrian (Orientation) 54.80 % 46.44 % 43.44 %
Pedestrian (3D Detection) 52.28 % 43.93 % 40.81 %
Pedestrian (Bird's Eye View) 55.62 % 48.30 % 45.15 %
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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