Method

Weak Segmentation Supervised FRCNN Detector [FRCNN-WS]
[Anonymous Submission]

Submitted on 13 Jan. 2020 10:32 by
[Anonymous Submission]

Running time:0.22 s
Environment:1 core @ 3.0 Ghz (Python)

Method Description:
Input RGBD.
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
Pedestrian (Detection) 84.20 % 72.26 % 67.47 %
This table as LaTeX


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




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