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Real-Time Video Inference on Edge Devices via Adaptive Model Streaming

Real-Time Video Inference on Edge Devices via Adaptive Model Streaming

11 June 2020
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
ArXivPDFHTML

Papers citing "Real-Time Video Inference on Edge Devices via Adaptive Model Streaming"

10 / 10 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
78
0
0
29 Apr 2025
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
33
1
0
05 Jun 2024
Online Resource Allocation for Edge Intelligence with Colocated Model
  Retraining and Inference
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
Huaiguang Cai
Zhi Zhou
Qianyi Huang
40
3
0
25 May 2024
Egret: Reinforcement Mechanism for Sequential Computation Offloading in
  Edge Computing
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng
Yufeng Zhan
Dihua Zhai
Xiaopu Zhang
Yuanqing Xia
28
1
0
14 Apr 2024
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge
  Devices
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Liang Wang
Nan Zhang
Xiaoyang Qu
Jianzong Wang
Ji-guang Wan
Guokuan Li
Kaiyu Hu
Guilin Jiang
Jing Xiao
15
2
0
17 Aug 2023
APT: Adaptive Perceptual quality based camera Tuning using reinforcement
  learning
APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
Sibendu Paul
Kunal Rao
G. Coviello
Murugan Sankaradas
Oliver Po
Y. C. Hu
S. Chakradhar
16
0
0
15 Nov 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
23
22
0
07 Apr 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
188
1,027
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,326
0
05 Nov 2016
1