ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

7 June 2017

Papers citing "ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks"

7 / 7 papers shown

Title
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential Dongjingdin Liu Pengpeng Chen Miao Yao Yijingxiu Lu Zijie Cai Yuxin Tian 25 7 0 23 Apr 2023
MinUn: Accurate ML Inference on Microcontrollers Shikhar Jaiswal R. Goli Aayan Kumar Vivek Seshadri Rahul Sharma 21 2 0 29 Oct 2022
PECAN: A Product-Quantized Content Addressable Memory Network Jie Ran R. Lin Jason Chun Lok Li Jiajun Zhou Ngai Wong MQ 46 7 0 13 Aug 2022
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 27 230 0 13 Aug 2018
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks Yuechao Gao Nianhong Liu Shenmin Zhang 11 0 0 23 Jan 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017