Poster: Edge Computing for Deep Learning-based Sensor Multi-Target Detection

被引：1
作者：
Kalay, Alperen [1 ]
Fisne, Alparslan [1 ]
机构：
[1] Aselsan Res Ctr, Ankara, Turkey
来源：
2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022) | 2022年
关键词：
Edge Devices; Target Detection; Deep Learning;
D O I：
10.1109/SEC54971.2022.00033
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study purposes a real-time computing of deep learning-based multi-target detection in defense-purpose edge sensors. Our study suggests two fundamental optimizations to accelerate target detection inference model: algebraic enhancements and post-training quantization. Comprehensive benchmark results show that our computing design achieves real-time multi-target detection on energy-efficient edge devices.
引用
收藏
页码：286 / 288
页数：3
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