Research on DSC-MB-PSPNet Semantic Segmentation inStreet-scene Autonomous Driving

It presented a lightweight real-time semantic segmentation model for city autonomous driving. A deep separable convolution, multi-branch and Pyramid scene parsing network fusion structure (DSC-MB-PSPNet) was proposed to ensure the model has better characterization ability and real-time operation, an...

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Bibliographic Details
Published in:	Kongzhi Yu Xinxi Jishu
Main Authors:	HU Yunqing, PAN Wenbo, HOU Zhichao, JIN Weizheng, YU Huan
Format:	Article
Language:	Chinese
Published:	Editorial Office of Control and Information Technology 2020-01-01
Subjects:	autonomous driving semantic segmentation deep separable convolution deep learning ICE (inhibitory cross entropy)loss function
Online Access:	http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.04.100

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