Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

© 2020, Springer Nature Switzerland AG. Self-driving cars need to understand 3D scenes efficiently and accurately in order to drive safely. Given the limited hardware resources, existing 3D perception models are not able to recognize small instances (e.g., pedestrians, cyclists) very well due to the...

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Bibliographic Details
Main Authors: Tang, Haotian, Liu, Zhijian, Zhao, Shengyu, Lin, Yujun, Lin, Ji, Wang, Hanrui, Han, Song
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer International Publishing 2022
Online Access:https://hdl.handle.net/1721.1/143668

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https://hdl.handle.net/1721.1/143668

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