Method

NLK [NLK]


Submitted on 16 Jan. 2019 08:42 by
Namil Kim (Naver Labs)

Running time:0.02 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
TBA
Parameters:
TBA
Latex Bibtex:
TBA

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) 89.00 % 85.56 % 79.34 %
Car (3D Detection) 73.81 % 63.99 % 60.90 %
Car (Bird's Eye View) 87.65 % 78.28 % 76.20 %
This table as LaTeX


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



3D object detection results.
This figure as: png eps pdf txt gnuplot



Bird's eye view results.
This figure as: png eps pdf txt gnuplot




eXTReMe Tracker