Method

3D HANet: A Flexible 3D Heatmap Auxiliary Network for Object Detection [3D HANet]
https://github.com/xmuqimingxia/3D-HANet

Submitted on 6 Jun. 2023 04:33 by
chen yidong (JiMei University)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
@ARTICLE{10056279,
author={Xia, Qiming and Chen, Yidong and Cai,
Guorong and Chen, Guikun and Xie, Daoshun and Su,
Jinhe and Wang, Zongyue},
journal={IEEE Transactions on Geoscience and
Remote Sensing},
title={3D HANet: A Flexible 3D Heatmap Auxiliary
Network for Object Detection},
year={2023},
volume={},

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) 98.61 % 95.73 % 92.96 %
Car (Orientation) 98.59 % 95.54 % 92.66 %
Car (3D Detection) 90.79 % 84.18 % 77.57 %
Car (Bird's Eye View) 94.33 % 91.13 % 86.33 %
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