Method

MonoSOTF [MonoSOTF]
[Anonymous Submission]

Submitted on 1 Jan. 2025 08:15 by
[Anonymous Submission]

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

Method Description:
A novel method on MonoSOTF (information will be
ipdate soon)
Parameters:
30M
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) 96.20 % 90.97 % 81.04 %
Car (Orientation) 96.03 % 90.36 % 80.29 %
Car (3D Detection) 28.26 % 19.20 % 16.21 %
Car (Bird's Eye View) 35.77 % 24.82 % 21.37 %
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



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



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




eXTReMe Tracker