Compacting Deep Neural Networks for Internet of Things: Methods and Applications

20 March 2021

Papers citing "Compacting Deep Neural Networks for Internet of Things: Methods and Applications"

6 / 6 papers shown

Title
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges J. Wan Xiaomin Li Hongning Dai A. Kusiak Miguel Martínez-García Di Li 43 154 0 07 Aug 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion C. Kyrkou T. Theocharides 43 130 0 28 Apr 2021
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu Xiaoguang Di 27 59 0 22 Mar 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016