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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

4 July 2017

Xiangyu Zhang

Papers citing "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"

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Title
High performing ensemble of convolutional neural networks for insect pest image detection L. Nanni Alessandro Manfe Gianluca Maguolo A. Lumini S. Brahnam 55 83 0 28 Aug 2021
Quadratic mutual information regularization in real-time deep CNN models Maria Tzelepi Anastasios Tefas 28 1 0 26 Aug 2021
Separable Convolutions for Optimizing 3D Stereo Networks Rafia Rahim Faranak Shamsafar A. Zell 3DPC 3DV 93 8 0 23 Aug 2021
Efficient Medical Image Segmentation Based on Knowledge Distillation Dian Qin Jiajun Bu Zhe Liu Xin Shen Sheng Zhou Jingjun Gu Zhihong Wang Lei Wu Hui-Fen Dai 74 130 0 23 Aug 2021
Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images Hongruixuan Chen Chen Wu Bo Du 29 6 0 18 Aug 2021
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search Chia-Hsiang Liu Yu-Shin Han Yuan-Yao Sung Yi Lee Hung-Yueh Chiang Kai-Chiang Wu 61 12 0 14 Aug 2021
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search C. Termritthikun Yeshi Jamtsho Jirarat Ieamsaard P. Muneesawang Ivan Lee 49 49 0 13 Aug 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 276 494 0 12 Aug 2021
MicroNet: Improving Image Recognition with Extremely Low FLOPs Yunsheng Li Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Lei Zhang Nuno Vasconcelos 76 81 0 12 Aug 2021
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion Yikai Wang F. Sun Ming Lu Anbang Yao 86 49 0 11 Aug 2021
Armour: Generalizable Compact Self-Attention for Vision Transformers Lingchuan Meng ViT 27 3 0 03 Aug 2021
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System Issac Sim Junho Lim Young-Wan Jang Jihwan You Seontaek Oh Young-Keun Kim 48 7 0 01 Aug 2021
Greedy Network Enlarging Chuanjian Liu Kai Han An Xiao Yiping Deng Wei Zhang Chunjing Xu Yunhe Wang 47 3 0 31 Jul 2021
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention Wenxiao Wang Lulian Yao Long Chen Binbin Lin Deng Cai Xiaofei He Wei Liu 209 273 0 31 Jul 2021
Hierarchical Self-supervised Augmented Knowledge Distillation Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu SSL 103 81 0 29 Jul 2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement Yuda Song Hui Qian Xin Du 89 48 0 27 Jul 2021
Log-Polar Space Convolution for Convolutional Neural Networks Fuchun Sun Ji-Rong Wen 47 2 0 26 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 38 14 0 23 Jul 2021
EAN: Event Adaptive Network for Enhanced Action Recognition Yuan Tian Yichao Yan Guangtao Zhai G. Guo Zhiyong Gao 79 42 0 22 Jul 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 85 36 0 21 Jul 2021
Positive/Negative Approximate Multipliers for DNN Accelerators Ourania Spantidi Georgios Zervakis Iraklis Anagnostopoulos H. Amrouch J. Henkel 45 19 0 20 Jul 2021
Follow Your Path: a Progressive Method for Knowledge Distillation Wenxian Shi Yuxuan Song Hao Zhou Bohan Li Lei Li 60 15 0 20 Jul 2021
Face.evoLVe: A High-Performance Face Recognition Library Qingzhong Wang Pengfei Zhang Haoyi Xiong Jian-jun Zhao CVBM 110 63 0 19 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN Applications Hsu-Hsun Chin R. Tsay Hsin-I Wu MQ 52 5 0 18 Jul 2021
Federated Action Recognition on Heterogeneous Embedded Devices Pranjali Jain Shreyas Goenka S. Bagchi Biplab Banerjee Somali Chaterji FedML 81 8 0 18 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul Xi Li ObjD 101 11 0 16 Jul 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference Chaojian Li Wuyang Chen Yuchen Gu Tianlong Chen Yonggan Fu Zhangyang Wang Yingyan Lin 112 0 0 16 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 71 6 0 15 Jul 2021
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet Shi-Yao Zhou Chung-Yen Su 50 11 0 15 Jul 2021
LANA: Latency Aware Network Acceleration Pavlo Molchanov Jimmy Hall Hongxu Yin Jan Kautz Nicolò Fusi Arash Vahdat 139 10 0 12 Jul 2021
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing Yumeng Zhang Chun-Chieh Lee J. Hsieh Kuo-Chin Fan ObjD 34 21 0 10 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 148 278 0 09 Jul 2021
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration Saad Abbasi M. Shafiee Ellick Chan Alexander Wong 34 0 0 08 Jul 2021
Physics-informed generative neural network: an application to troposphere temperature prediction Zhihao Chen Jie Gao Weikai Wang Zheng Yan AI4CE 67 18 0 08 Jul 2021
FasterPose: A Faster Simple Baseline for Human Pose Estimation Hanbin Dai Hailin Shi Wu Liu Linfang Wang Yinglu Liu Tao Mei 3DH 106 24 0 07 Jul 2021
LightFuse: Lightweight CNN based Dual-exposure Fusion Ziyi Liu Jie Yang Svetlana Yanushkevich O. Yadid-Pecht 52 3 0 05 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 95 43 0 02 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection Tingting Liang Xiao Chu Yudong Liu Yongtao Wang Zhi Tang Wei Chu Jingdong Chen Haibin Ling ObjD 116 167 0 01 Jul 2021
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning Wen Zhang Chong Fu Xiang shi Chang T. Zhao Xiang Li Chiu-Wing Sham ObjD 120 15 0 28 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 25 9 0 27 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 54 8 0 27 Jun 2021
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators Seyed Morteza Nabavinejad Behzad Salami 142 1 0 26 Jun 2021
P2T: Pyramid Pooling Transformer for Scene Understanding Yu-Huan Wu Yun-Hai Liu Xin Zhan Mingg-Ming Cheng ViT 157 234 0 22 Jun 2021
Active Learning for Deep Neural Networks on Edge Devices Yuya Senzaki Christian Hamelain 70 7 0 21 Jun 2021
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples Xuanyu Wu Xuhong Li Haoyi Xiong Xiao Zhang Siyu Huang Dejing Dou 30 1 0 20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 51 10 0 19 Jun 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks Sudhakar Kumawat Gagan Kanojia Shanmuganathan Raman 37 5 0 17 Jun 2021
ShortcutFusion: From Tensorflow to FPGA-based accelerator with reuse-aware memory allocation for shortcut data Duy-Thanh Nguyen Hyeonseung Je Tuan Nghia Nguyen Soojung Ryu Kyujoong Lee Hyuk-Jae Lee 46 30 0 15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks Nianhui Guo Joseph Bethge Haojin Yang Kai Zhong Xuefei Ning Christoph Meinel Yu Wang MQ 63 11 0 13 Jun 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers Mingyu Ding Xiaochen Lian Linjie Yang Peng Wang Xiaojie Jin Zhiwu Lu Ping Luo ViT 101 61 0 11 Jun 2021