Method

ALI_TRY1 [ALI_TRY1]


Submitted on 14 Oct. 2022 15:38 by
ali ahmed (luxoft)

Running time:0.03 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
NA
Parameters:
NA
Latex Bibtex:
NA

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) 92.60 % 81.89 % 72.18 %
Car (Orientation) 91.42 % 80.00 % 69.60 %
Car (Bird's Eye View) 0.00 % 0.00 % 0.00 %
Pedestrian (Detection) 58.82 % 43.10 % 38.56 %
Pedestrian (Orientation) 45.53 % 33.25 % 29.56 %
Cyclist (Detection) 49.83 % 34.56 % 30.90 %
Cyclist (Orientation) 39.49 % 27.83 % 24.59 %
This table as LaTeX


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



Orientation estimation results.
This figure as: png eps txt gnuplot



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



Orientation estimation results.
This figure as: png eps txt gnuplot



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



Orientation estimation results.
This figure as: png eps txt gnuplot




eXTReMe Tracker