EdgeVision: Towards Collaborative Video Analytics on Distributed Edges
for Performance Maximization

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EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization

6 November 2022

Xin Zhou

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Papers citing "EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization"

7 / 7 papers shown

Title
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices Guanyu Xu Zhiwei Hao Yong Luo Han Hu J. An Shiwen Mao ViT 62 16 0 10 Sep 2023
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference Min Li Yu Li Ye Tian Li Jiang Qiang Xu 68 35 0 10 May 2021
SiEVE: Semantically Encoded Video Analytics on Edge and Cloud Tarek Elgamal Shu Shi Varun Gupta R. Jana Klara Nahrstedt 16 15 0 01 Jun 2020
Scaling Video Analytics on Constrained Edge Nodes Christopher Canel Thomas Kim Giulio Zhou Conglong Li Hyeontaek Lim D. Andersen M. Kaminsky Subramanya R. Dulloor 55 166 0 24 May 2019
Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization Zhenzhen Hui Peng Sun Yonggang Wen CVBM 24 5 0 22 May 2018
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 372 27,253 0 20 Mar 2017
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,439 0 08 Jun 2015