SGM3D: Stereo Guided Monocular 3D Object Detection-Reference-Cited by-同舟云学术

SGM3D: Stereo Guided Monocular 3D Object Detection

Published:2022-10 Issue:4 Volume:7 Page:10478-10485
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zhou Zheyuan¹^ORCID,Du Liang²^ORCID,Ye Xiaoqing³^ORCID,Zou Zhikang³^ORCID,Tan Xiao³^ORCID,Zhang Li⁴^ORCID,Xue Xiangyang¹^ORCID,Feng Jianfeng²^ORCID

Affiliation:

1. School of Computer Science, Fudan University, Shanghai, China

2. Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China

3. Department of Computer Vision Technology (VIS), Baidu Inc., Beijing, China

4. School of Data Science, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Lingang Laboratory

Natural Science Foundation of Shanghai

Shanghai Municipal Science and Technology Major Project

Science and Technology Innovation 2030 - Brain Science and Brain-Inspired Intelligence Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09832729.pdf?arnumber=9832729

Reference41 articles.

1. The Pascal Visual Object Classes (VOC) Challenge

2. MMDetection3D: OpenMMLab next-generation platform for general 3D object detection;contributors,2020

3. Distilling Object Detectors With Fine-Grained Feature Imitation

4. Second: Sparsely embedded convolutional detection;yan;SENSORS,2018

5. Frustum PointNets for 3D Object Detection from RGB-D Data

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