Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN

24 April 2018

Papers citing "Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN"

7 / 7 papers shown

Title
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules Samiul Based Shuvo Tasnia Binte Mamun 38 3 0 28 Apr 2023
Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning Tanmoy Sen Haiying Shen OffRL 11 5 0 01 Jun 2022
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance Justin Sanchez Christopher Neff Hamed Tabkhi GNN 30 9 0 15 Jan 2022
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection Yifan Zhuang Ziyuan Pu Jia Hu Yinhai Wang 19 24 0 09 Dec 2021
HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors Joe Cyr J. Vanderpool Yu Chen Xiaohua Li 36 4 0 15 Apr 2020
Decentralized Smart Surveillance through Microservices Platform S. Nikouei Ronghua Xu Yu Chen Alexander J. Aved Erik P. Blasch 16 23 0 11 Mar 2019
A Microservice-enabled Architecture for Smart Surveillance using Blockchain Technology Deeraj Nagothu Ronghua Xu S. Nikouei Yu Chen 17 81 0 19 Jul 2018