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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