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Conference Paper: One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

TitleOne for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
Authors
Zhao, Hengshuang
Issue Date10-Dec-2024
Persistent Identifierhttp://hdl.handle.net/10722/351277

 

DC FieldValueLanguage
dc.contributor.authorZhao, Hengshuang-
dc.date.accessioned2024-11-17T00:45:33Z-
dc.date.available2024-11-17T00:45:33Z-
dc.date.issued2024-12-10-
dc.identifier.urihttp://hdl.handle.net/10722/351277-
dc.languageeng-
dc.relation.ispartofNeural Information Processing Systems (NeurIPS), 2024 (10/12/2024-15/12/2024, Vancouver, Canada)-
dc.titleOne for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection-
dc.typeConference_Paper-

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