File Download

There are no files associated with this item.

Supplementary

Conference Paper: Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

TitleSpatial Pruned Sparse Convolution for Efficient 3D Object Detection
Authors
Issue Date28-Nov-2022
Persistent Identifierhttp://hdl.handle.net/10722/337312

 

DC FieldValueLanguage
dc.contributor.authorLiu, Jianhui-
dc.contributor.authorChen, Yukang-
dc.contributor.authorYe, Xiaoqing-
dc.contributor.authorTian, Zhuotao-
dc.contributor.authorTan, Xiao-
dc.contributor.authorQi, Xiaojuan-
dc.date.accessioned2024-03-11T10:19:48Z-
dc.date.available2024-03-11T10:19:48Z-
dc.date.issued2022-11-28-
dc.identifier.urihttp://hdl.handle.net/10722/337312-
dc.languageeng-
dc.relation.ispartofConference on Neural Information Processing Systems (28/11/2022-09/12/2022, New Orleans Ernest N. Morial Convention Center)-
dc.titleSpatial Pruned Sparse Convolution for Efficient 3D Object Detection-
dc.typeConference_Paper-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats