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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"

50 / 1,495 papers shown

Title
To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network Jameel Hassan Abdul Samadh Salwa K. Al Khatib 38 0 0 09 Feb 2023
An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar MQ 55 4 0 03 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture Adrien Benamira Tristan Guérand Thomas Peyrin Sayandeep Saha 89 6 0 03 Feb 2023
Towards Inference Efficient Deep Ensemble Learning Ziyue Li Kan Ren Yifan Yang Xinyang Jiang Yuqing Yang Dongsheng Li BDL 60 14 0 29 Jan 2023
Automatic Modulation Classification with Deep Neural Networks Clayton A. Harper Mitchell A. Thornton Eric C. Larson 48 5 0 27 Jan 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 104 37 0 26 Jan 2023
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images Piotr Keller Muhammad Dawood F. Minhas 42 3 0 23 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 163 131 0 17 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 97 2 0 15 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength Rongzhen Zhao Zhenzhi Wu Qikun Zhang 80 6 0 13 Jan 2023
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention Zixuan Chen Zewei He Zhe-ming Lu 81 224 0 12 Jan 2023
Pruning Compact ConvNets for Efficient Inference Sayan Ghosh Karthik Prasad Xiaoliang Dai Peizhao Zhang Bichen Wu Graham Cormode Peter Vajda VLM 63 4 0 11 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 99 2 0 03 Jan 2023
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network Wenjie Li Juncheng Li Guangwei Gao Weihong Deng Jian Yang Guo-Jun Qi Chia-Wen Lin SupR 80 12 0 29 Dec 2022
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection U. Ciftci Ilke Demir 65 6 0 28 Dec 2022
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models Xinlin Li Mariana Parazeres Adam M. Oberman Alireza Ghaffari M. Asgharian V. Nia 73 4 0 22 Dec 2022
Vision-Based Environmental Perception for Autonomous Driving Fei Liu Zihao Lu Xianke Lin 86 19 0 22 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 89 1 0 16 Dec 2022
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution Stylianos I. Venieris Mario Almeida Royson Lee Nicholas D. Lane SupR 61 4 0 15 Dec 2022
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning Ruiyuan Kang D. Kyritsis P. Liatsis 25 0 0 15 Dec 2022
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor Andrea Mattia Garavagno D. Leonardis A. Frisoli 106 1 0 15 Dec 2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang Xiaofeng Wang Haixu Tang AAML FedML 101 13 0 09 Dec 2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework Shikhar Tuli Chia-Hao Li Ritvik Sharma N. Jha 81 15 0 07 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 99 2 0 07 Dec 2022
MobileTL: On-device Transfer Learning with Inverted Residual Blocks HungYueh Chiang N. Frumkin Feng Liang Diana Marculescu MQ 77 12 0 05 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 82 8 0 03 Dec 2022
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure Hongzhi Zhu R. Rohling Septimiu Salcudean 29 0 0 01 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 103 8 0 30 Nov 2022
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN Mirza Mumtaz Zahoor Dr. Saddam Hussain Khan 63 31 0 29 Nov 2022
Curriculum Temperature for Knowledge Distillation Zheng Li Xiang Li Lingfeng Yang Borui Zhao Renjie Song Lei Luo Jun Yu Li Jian Yang 81 146 0 29 Nov 2022
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement Wenhao Sun Grace Li Zhang Xunzhao Yin Cheng Zhuo Huaxi Gu Bing Li Ulf Schlichtmann 47 2 0 27 Nov 2022
Learning Low-Rank Representations for Model Compression Zezhou Zhu Yucong Zhou Zhaobai Zhong SSL MQ 64 3 0 21 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu Haokui Zhang Wenze Hu Shiliang Zhang Xiaoyu Wang ViT 81 6 0 14 Nov 2022
Progressive Motion Context Refine Network for Efficient Video Frame Interpolation Lingtong Kong Jinfeng Liu Jie Yang 58 3 0 11 Nov 2022
A Comprehensive Survey of Transformers for Computer Vision Sonain Jamil Md. Jalil Piran Oh-Jin Kwon ViT 78 54 0 11 Nov 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions Antonia van Betteray Matthias Rottmann Karsten Kahl 70 2 0 10 Nov 2022
Designing Network Design Strategies Through Gradient Path Analysis Chien-Yao Wang Hongpeng Liao I-Hau Yeh 77 239 0 09 Nov 2022
Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection Diponkar Ghosh Amitabha Chakrabarty 35 4 0 08 Nov 2022
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study Hongjun Choi Eunyeong Jeon Ankita Shukla Pavan Turaga 56 8 0 08 Nov 2022
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search Haichao Zhang Jiashi Li Xin Xia K. Hao Xuefeng Xiao 84 2 0 05 Nov 2022
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction Jie Bai Xing Fang Jianwu Fang Jianru Xue Changwei Yuan 52 6 0 02 Nov 2022
Auxo: Efficient Federated Learning via Scalable Client Clustering Jiachen Liu Fan Lai Yinwei Dai Aditya Akella H. Madhyastha Mosharaf Chowdhury 120 10 0 29 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 99 25 0 23 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 145 32 0 17 Oct 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 66 0 0 17 Oct 2022
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation T. M. Khan Muhammad Arsalan A. Robles-Kelly Erik H. W. Meijering SSeg 37 15 0 15 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 118 5 0 12 Oct 2022
Turbo Training with Token Dropout Tengda Han Weidi Xie Andrew Zisserman ViT 81 11 0 10 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li Wenxuan Fan Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao De-Chuan Zhan 120 31 0 10 Oct 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models Simin Chen Cong Liu Mirazul Haque Wei Yang 89 24 0 07 Oct 2022