Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles

Object detection plays an important role in self-driving cars for security development. However, mobile systems on self-driving cars with limited computation resources lead to difficulties for object detection. To facilitate this, we propose a compiler-aware neural pruning search framework to achiev...

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Veröffentlicht in:	2021 58th ACM/IEEE Design Automation Conference (DAC) S. 835 - 840
Hauptverfasser:	Zhao, Pu, Yuan, Geng, Cai, Yuxuan, Niu, Wei, Liu, Qi, Wen, Wujie, Ren, Bin, Wang, Yanzhi, Lin, Xue
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Autonomous automobiles autonomous driving Design automation Mobile handsets Object detection real-time Real-time systems Search problems Three-dimensional displays
Online-Zugang:	Volltext
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