Fully Learnable Group Convolution for Acceleration of Deep Neural
Networks

Fully Learnable Group Convolution for Acceleration of Deep Neural Networks

31 March 2019

Papers citing "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks"

11 / 11 papers shown

Title
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution Guandong Li M. Ye 31 6 0 15 Jul 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 27 2 0 13 Apr 2023
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array Yanan Liu Laurie Bose Yao Lu Piotr Dudek Walterio W. Mayol-Cuevas 16 0 0 02 Feb 2022
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 37 0 0 28 Jul 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang Haojun Jiang Ruojin Cai Yulin Wang Shiji Song Gao Huang Qi Tian DD 23 64 0 09 Apr 2021
On Evolving Attention Towards Domain Adaptation Kekai Sheng Ke Li Xiawu Zheng Jian Liang Weiming Dong Feiyue Huang Rongrong Ji Xing Sun 36 7 0 25 Mar 2021
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 Sep 2020
ResNet-like Architecture with Low Hardware Requirements E. Limonova D. Alfonso D. Nikolaev V. Arlazarov 27 15 0 15 Sep 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z. Su Linpu Fang Wenxiong Kang D. Hu M. Pietikäinen Li Liu 13 44 0 08 Jul 2020
Efficient Structured Pruning and Architecture Searching for Group Convolution Ruizhe Zhao Wayne Luk 39 16 0 23 Nov 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 331 1,049 0 10 Feb 2017