CVFNet: Real-time 3D object detection by learning cross view features

• Main Authors: GU, Jiaqi, XIANG, Zhiyu, ZHAO, Pan, BAI, Tingming, WANG, Lingxuan, ZHAO, Xijun, ZHANG, Zhiyuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Representation learning; Point cloud compression; Three-dimensional displays; Laser radar; Object detection; Feature extraction; Real-time systems; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7945; https://ink.library.smu.edu.sg/context/sis_research/article/8948/viewcontent/2203.06585.pdf
• Institution: Singapore Management University

In recent years 3D object detection from LiDAR point clouds has made great progress thanks to the development of deep learning technologies. Although voxel or point based methods are popular in 3D object detection, they usually involve time-consuming operations such as 3D convolutions on voxels or b...