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

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

24 April 2021

Alexander Wong

Papers citing "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"

4 / 4 papers shown

Title
On Calibration of Modern Quantized Efficient Neural Networks Joe-Hwa Kuang Alexander Wong UQCV MQ 27 1 0 25 Sep 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma Huixia Li Xiawu Zheng Xuefeng Xiao Rui Wang Shilei Wen Xin Pan Rongrong Ji Rongrong Ji MQ 27 12 0 21 Mar 2023
Make RepVGG Greater Again: A Quantization-aware Approach Xiangxiang Chu Liang Li Bo-Wen Zhang MQ 48 46 0 03 Dec 2022
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