Method

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer [PVT-SSD]


Submitted on 13 Apr. 2022 08:40 by
Honghui Yang (Zhejiang University)

Running time:0.05 s
Environment:1 core @ 2.5 Ghz (Python + C/C++)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
@inproceedings{yang2023pvt-ssd,
title={PVT-SSD: Single-Stage 3D Object Detector with
Point-Voxel Transformer},
author={Honghui Yang and Wenxiao Wang and Minghao
Chen and
Binbin Lin and Tong He and Hua Chen and Xiaofei He
and Wanli Ouyang},
booktitle={CVPR},
year={2023}
}

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) 96.75 % 95.90 % 90.69 %
Car (Orientation) 96.74 % 95.83 % 90.58 %
Car (3D Detection) 90.65 % 82.29 % 76.85 %
Car (Bird's Eye View) 95.23 % 91.63 % 86.43 %
This table as LaTeX

2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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