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Early-exit deep neural networks for distorted images: providing an
  efficient edge offloading
v1v2 (latest)

Early-exit deep neural networks for distorted images: providing an efficient edge offloading

20 August 2021
R. G. Pacheco
F. Oliveira
R. S. Couto
ArXiv (abs)PDFHTML

Papers citing "Early-exit deep neural networks for distorted images: providing an efficient edge offloading"

5 / 5 papers shown
Title
Distributed Inference on Mobile Edge and Cloud: An Early Exit based
  Clustering Approach
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya J. Bajpai
M. Hanawal
FedML
58
0
0
06 Oct 2024
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
Divya J. Bajpai
Aastha Jaiswal
M. Hanawal
50
7
0
19 Jan 2024
SplitEE: Early Exit in Deep Neural Networks with Split Computing
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Divya J. Bajpai
Vivek K. Trivedi
S. L. Yadav
M. Hanawal
75
7
0
17 Sep 2023
Unsupervised Early Exit in DNNs with Multiple Exits
Unsupervised Early Exit in DNNs with Multiple Exits
U. HariNarayanN
M. Hanawal
Avinash Bhardwaj
63
11
0
20 Sep 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
149
103
0
11 Nov 2021
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