A Quantization-Friendly Separable Convolution for MobileNets

A Quantization-Friendly Separable Convolution for MobileNets

22 March 2018

Papers citing "A Quantization-Friendly Separable Convolution for MobileNets"

19 / 19 papers shown

Title
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 37 0 0 28 Jul 2021
A White Paper on Neural Network Quantization Markus Nagel Marios Fournarakis Rana Ali Amjad Yelysei Bondarenko M. V. Baalen Tijmen Blankevoort MQ 19 503 0 15 Jun 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices Mustafa Ayazoglu 8 56 0 21 May 2021
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics S. Yun Alexander Wong MQ 19 25 0 24 Apr 2021
Dynamic Precision Analog Computing for Neural Networks Sahaj Garg Joe Lou Anirudh Jain Mitchell Nahmias 37 33 0 12 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 132 674 0 24 Jan 2021
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning Jyotibdha Acharya A. Basu 19 157 0 16 Apr 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network Hyeonseong Jeon Youngoh Bang Simon S. Woo 16 54 0 05 Jan 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks Zhaodong Chen Lei Deng Bangyan Wang Guoqi Li Yuan Xie 32 28 0 01 Jan 2020
Towards Efficient Training for Neural Network Quantization Qing Jin Linjie Yang Zhenyu A. Liao MQ 11 42 0 21 Dec 2019
Compressing Representations for Embedded Deep Learning Juliano S. Assine Alan Godoy Eduardo Valle 13 2 0 23 Nov 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 25 43 0 07 Oct 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 19 499 0 11 Jun 2019
Low-Power Computer Vision: Status, Challenges, Opportunities S. Alyamkin M. Ardi Alexander C. Berg Achille Brighton Bo Chen ... George K. Thiruvathukal Baiwu Zhang Jingchi Zhang Xiaopeng Zhang Shaojie Zhuo 21 10 0 15 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 12 1 0 03 Apr 2019
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization Eldad Meller Alexander Finkelstein Uri Almog Mark Grobman MQ 16 85 0 05 Feb 2019
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 27 131 0 03 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 14 320 0 02 Oct 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 46 992 0 21 Jun 2018