Multi-View 3D Object Detection Network [la] [MV3D]

Submitted on 13 Nov. 2016 03:44 by
Xiaozhi Chen (Tsinghua University)

Running time:0.36 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:

BV+FV+RGB network is used.

3D evaluation code:
Latex Bibtex:
title = {Multi-View 3D Object Detection Network for
author = {Xiaozhi Chen and Huimin Ma and Ji Wan and
Bo Li and Tian Xia},
booktitle = {CVPR},
year = {2017}

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) 89.67 % 80.56 % 79.43 %
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