Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

22 November 2017

Papers citing "Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions"

26 / 76 papers shown

Title
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 15 92 0 24 Mar 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim Kyungsu Kim Jinseok Kim Jae-Joon Kim MQ 27 47 0 16 Feb 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 29 194 0 31 Dec 2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection Mingyu Ding Yuqi Huo Hongwei Yi Zhe Wang Jianping Shi Zhiwu Lu Ping Luo 3DPC 51 311 0 10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 33 871 0 07 Dec 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,589 0 27 Nov 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
4-Connected Shift Residual Networks Andrew Brown Pascal Mettes M. Worring 3DPC 31 8 0 22 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 50 11 0 21 Oct 2019
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks Hongxu Yin Bilal Mukadam Xiaoliang Dai N. Jha 34 47 0 11 Oct 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 25 74 0 27 Sep 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 41 25 0 29 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 33 31 0 27 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 39 15 0 11 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices Nilay Shrivastava Astitwa Saxena Yaman Kumar Singla Preeti Kaur Debanjan Mahata R. Shah 27 3 0 10 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 97 6,616 0 06 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 16 170 0 28 Apr 2019
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing Peng Zhang F. Zou Zhiwen Wu N. Dai Skarpness Mark Michael Fu Juan Zhao Kai Li CVBM 28 66 0 22 Apr 2019
Convolution with even-sized kernels and symmetric padding Shuang Wu Guanrui Wang Pei Tang F. Chen Luping Shi 22 68 0 20 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM Hongxu Yin Guoyang Chen Yingmin Li Shuai Che Weifeng Zhang N. Jha 36 10 0 30 Jan 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 33 272 0 21 Dec 2018
Shift-based Primitives for Efficient Convolutional Neural Networks Huasong Zhong Xianggen Liu Yihui He Yuchun Ma 35 20 0 22 Sep 2018
Motion Feature Network: Fixed Motion Filter for Action Recognition Myunggi Lee Seungeui Lee S. Son Gyutae Park Nojun Kwak 30 121 0 26 Jul 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices Sheng Chen Yang Liu Xiang Gao Zhen Han CVBM 3DH 30 557 0 20 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng 25 28 0 27 Mar 2018