Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zetong Yang"'
Publikováno v:
CVPR
3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D detection, and do not fully utilize information from multiple frames. In this paper, we present 3
Publikováno v:
CVPR
Currently, there have been many kinds of voxel-based 3D single stage detectors, while point-based single stage methods are still underexplored. In this paper, we first present a lightweight and effective point-based 3D single stage object detector, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef753618ef143b0dec2c8c31677e400
http://arxiv.org/abs/2002.10187
http://arxiv.org/abs/2002.10187
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
ECCV (10)
In 3D recognition, to fuse multi-scale structure information, existing methods apply hierarchical frameworks stacked by multiple fusion layers for integrating current relative locations with structure information from the previous level. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93fb5cb0ad99bc13d2df341db8702a4
https://doi.org/10.1007/978-3-030-58607-2_35
https://doi.org/10.1007/978-3-030-58607-2_35
Publikováno v:
ICCV
We present a new two-stage 3D object detection framework, named sparse-to-dense 3D Object Detector (STD). The first stage is a bottom-up proposal generation network that uses raw point cloud as input to generate accurate proposals by seeding each poi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8510d64240bed98fd1f4ec07d849d395
http://arxiv.org/abs/1907.10471
http://arxiv.org/abs/1907.10471