Detection with RGBD [st] [Det-RGBD]
[Anonymous Submission]

Submitted on 14 Feb. 2019 05:44 by
[Anonymous Submission]

Running time:0.58 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
We propose a novel neural network for RGBD based
object detection. Taking advantage of RGB and disparity
can help improve the effects of detection.
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) 94.30 % 91.49 % 79.41 %
This table as LaTeX

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

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