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Survey of progress in deep neural networks for resource-constrained applications
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
◽
10.1109/iecon.2017.8217271
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2017
◽
Author(s):
Morgan Stuart
◽
Milos Manic
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Resource Constrained
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10.1109/access.2020.3039714
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2020
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Vol 8
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pp. 212177-212193
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Yoshitomo Matsubara
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NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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10.1109/cvpr42600.2020.00155
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2020
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Author(s):
Eugene Lee
◽
Chen-Yi Lee
Keyword(s):
Neural Networks
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Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs
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10.1145/3394885.3439194
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2021
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Author(s):
Zhepeng Wang
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Yawen Wu
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Zhenge Jia
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Yiyu Shi
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Jingtong Hu
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Neural Networks
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Working Memory
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Deep Neural Networks
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Resource Constrained
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Memory Compression
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Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms
10.1109/iccd53106.2021.00087
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Author(s):
Zhenbo Hu
◽
Xiangyu Zou
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Wen Xia
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Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms
2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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10.1109/avss.2018.8639121
◽
2018
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◽
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Internet Of Things
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Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT
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Neural Networks
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Deep Neural Networks
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Data Augmentation
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Representation of adversarial images in deep neural networks and the human brain
10.32470/ccn.2018.1066-0
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2018
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Author(s):
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Xiaohan Duan
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Li Tong
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Neural Networks
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Human Brain
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Study on Intelligent Security Camera Systems for the Automated Detection of Nighttime Snatching Incidents using Deep Neural Networks
IEEJ Transactions on Industry Applications
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10.1541/ieejias.136.727
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2016
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pp. 727-734
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Cited By ~ 2
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◽
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Neural Networks
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Deep Neural Networks
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Automated Detection
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Camera Systems
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Intelligent Security
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Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters
2020 28th European Signal Processing Conference (EUSIPCO)
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10.23919/eusipco47968.2020.9287739
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2021
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Author(s):
Niccolo Nicodemo
◽
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◽
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The Use of Deep Neural Networks to Predict Post-liver Transplant Mortality
10.26226/morressier.58eb975cd462b80290b4f9e3
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2017
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Author(s):
Brent Ershoff
Keyword(s):
Neural Networks
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