Robust Ultra-wideband Range Error Mitigation with Deep Learning at the
Edge

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Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge

30 November 2020

Simone Angarano

Vittorio Mazzia

Francesco Salvetti

Giovanni Fantin

Marcello Chiaberge

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Papers citing "Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge"

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Title
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks Francesco Salvetti Vittorio Mazzia Aleem Khaliq Marcello Chiaberge SupR 82 117 0 06 Jul 2020
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy Diego Aghi Vittorio Mazzia Marcello Chiaberge 42 52 0 26 May 2020
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 229 16,641 0 17 Jul 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 167 3,148 0 15 Dec 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,605 0 05 Sep 2017
Deep Visual Attention Prediction Wenguan Wang Jianbing Shen MDE 93 588 0 07 May 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,280 0 23 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 132 2,461 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity V. Savic Erik G. Larsson J. Ferrer-Coll P. Stenumgaard 61 43 0 10 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,864 0 01 Oct 2015
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 240 2,541 0 03 Jun 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 209 2,049 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 179 1,171 0 18 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 496 43,717 0 17 Sep 2014