English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

MPS-Authors
/persons/resource/persons265837

Shi,  Shaoshuai
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons265835

Jiang,  Li
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

s11263-022-01710-9.pdf
(Publisher version), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Shi, S., Jiang, L., Deng, J., Wang, Z., Guo, C., Shi, J., et al. (2022). PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. International Journal of Computer Vision, 131, 531-551. doi:10.1007/s11263-022-01710-9.


Cite as: https://hdl.handle.net/21.11116/0000-000C-11CC-B
Abstract
There is no abstract available