MobileNetV2 Explained | Papers With Code

MobileNetV2

Introduced by Sandler et al. in MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNetV2 is a convolutional neural network architecture that seeks to perform well on mobile devices. It is based on an inverted residual structure where the residual connections are between the bottleneck layers. The intermediate expansion layer uses lightweight depthwise convolutions to filter features as a source of non-linearity. As a whole, the architecture of MobileNetV2 contains the initial fully convolution layer with 32 filters, followed by 19 residual bottleneck layers.

Source: MobileNetV2: Inverted Residuals and Linear Bottlenecks

Paper Code Snippet

Latest Papers

PAPER	DATE
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand Mehrshad Zandigohar • Mo Han • Deniz Erdogmus • Gunar Schirner	2021-01-13
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Anonymous	2021-01-01
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution Anonymous	2021-01-01
FixNorm: Dissecting Weight Decay for Training Deep Neural Networks Anonymous	2021-01-01
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks Tuan Hoang • Thanh-Toan Do • Tam V. Nguyen • Ngai-Man Cheung	2020-12-26
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations Yichi Zhang • Junhao Pan • Xinheng Liu • Hongzheng Chen • Deming Chen • Zhiru Zhang	2020-12-22
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Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces Bert Moons • Parham Noorzad • Andrii Skliar • Giovanni Mariani • Dushyant Mehta • Chris Lott • Tijmen Blankevoort	2020-12-16
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks Alexander Uzhinskiy • Gennady Ososkov • Pavel Goncharov • Andrey Nechaevskiy • Artem Smetanin	2020-12-14
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An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution Wenyu Sun • Jian Cao • Pengtao Xu • Xiangcheng Liu • Pu Li	2020-12-02
Automated Quality Assessment of Hand Washing Using Deep Learning Maksims Ivanovs • Roberts Kadikis • Martins Lulla • Aleksejs Rutkovskis • Atis Elsts	2020-11-23
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images Sagar Kora Venu	2020-11-11
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Counting Fish and Dolphins in Sonar Images Using Deep Learning Stefan Schneider • Alex Zhuang	2020-07-24
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DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks Hassan Dbouk • Hetul Sanghvi • Mahesh Mehendale • Naresh Shanbhag	2020-07-19
Rethinking Bottleneck Structure for Efficient Mobile Network Design Zhou Daquan • Qibin Hou • Yunpeng Chen • Jiashi Feng • Shuicheng Yan	2020-07-05
Causal Explanations of Image Misclassifications Yan Min • Miles Bennett	2020-06-28
A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan \| Abdolkarim Saeedi • Maryam Saeedi • Arash Maghsoudi	2020-06-24
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Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath • Lars Ruthotto • Eran Treister	2020-06-11
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning Peiye Liu • Bo Wu • Huadong Ma • Mingoo Seok	2020-06-01
Online Knowledge Distillation via Collaborative Learning Qiushan Guo • Xinjiang Wang • Yichao Wu • Zhipeng Yu • Ding Liang • Xiaolin Hu • Ping Luo	2020-06-01
Train and Deploy an Image Classifier for Disaster Response Jianyu Mao • Kiana Harris • Nae-Rong Chang • Caleb Pennell • Yiming Ren	2020-05-12
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View \| Lennart Reiher • Bastian Lampe • Lutz Eckstein # 1 SEMANTIC SEGMENTATION ON CAM2BEV	2020-05-08
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices Chunjie Luo • Xiwen He • Jianfeng Zhan • Lei Wang • Wanling Gao • Jiahui Dai	2020-05-07
Automatic Plant Image Identification of Vietnamese species using Deep Learning Models Nguyen Van Hieu • Ngo Le Huy Hien	2020-05-05
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning Marichelo Garcia-Venegas • Diego A. Mercado-Ravell • Carlos A. Carballo-Monsivais	2020-04-25
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks Yikang Zhang • Jian Zhang • Qiang Wang • Zhao Zhong	2020-04-22
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed • Gabriele Cesa • Taco S. Cohen • Max Welling	2020-04-21
Evolving Normalization-Activation Layers \| Hanxiao Liu • Andrew Brock • Karen Simonyan • Quoc V. Le	2020-04-06
Neural Architecture Search for Lightweight Non-Local Networks \| Yingwei Li • Xiaojie Jin • Jieru Mei • Xiaochen Lian • Linjie Yang • Cihang Xie • Qihang Yu • Yuyin Zhou • Song Bai • Alan Yuille # 8 NEURAL ARCHITECTURE SEARCH ON IMAGENET	2020-04-04
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning Rasool Ameri • Saideh Ferdowsi • Ali Alameer • Vahid Abolghasemi • Kianoush Nazarpour	2020-03-26
Dynamic ReLU Yinpeng Chen • Xiyang Dai • Mengchen Liu • Dongdong Chen • Lu Yuan • Zicheng Liu	2020-03-22
Learned Threshold Pruning Kambiz Azarian • Yash Bhalgat • Jinwon Lee • Tijmen Blankevoort	2020-02-28
Learning in the Frequency Domain \| Kai Xu • Minghai Qin • Fei Sun • Yuhao Wang • Yen-Kuang Chen • Fengbo Ren	2020-02-27
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators Prasanth Chatarasi • Hyoukjun Kwon • Natesh Raina • Saurabh Malik • Vaisakh Haridas • Angshuman Parashar • Michael Pellauer • Tushar Krishna • Vivek Sarkar	2020-02-18
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Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks Souvik Kundu • Mahdi Nazemi • Massoud Pedram • Keith M. Chugg • Peter A. Beerel	2020-01-29
Filter Grafting for Deep Neural Networks \| Fanxu Meng • Hao Cheng • Ke Li • Zhixin Xu • Rongrong Ji • Xing Sun • Gaungming Lu	2020-01-15
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search \| Jiemin Fang • Yuzhu Sun • Kangjian Peng • Qian Zhang • Yuan Li • Wenyu Liu • Xinggang Wang	2020-01-08
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu • Bohan Zhuang • Zhuangwei Zhuang • Yong Guo • Junzhou Huang • Jinhui Zhu • Mingkui Tan	2020-01-04
DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks Anonymous	2020-01-01
Fast Neural Network Adaptation via Parameters Remapping Anonymous	2020-01-01
ISBNet: Instance-aware Selective Branching Networks Shaofeng Cai • Yao Shu • Wei Wang • Gang Chen • Beng Chin Ooi	2020-01-01
Pruning Depthwise Separable Convolutions for Extra Efficiency Gain of Lightweight Models Anonymous	2020-01-01
On the Pareto Efficiency of Quantized CNN Anonymous	2020-01-01
ZeroQ: A Novel Zero Shot Quantization Framework \| Yaohui Cai • Zhewei Yao • Zhen Dong • Amir Gholami • Michael W. Mahoney • Kurt Keutzer	2020-01-01
Channel Equilibrium Networks Anonymous	2020-01-01
Neural Architecture Search on Acoustic Scene Classification Jixiang Li • Chuming Liang • Bo Zhang • Zhao Wang • Fei Xiang • Xiangxiang Chu	2019-12-30
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu • Ruihao Gong • Fengwei Yu • Xianglong Liu • Yanfei Wang • Zhelong Li • Xiuqi Yang • Junjie Yan	2019-12-29
UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat • Arun Mallya • Ming-Yu Liu • Jan Kautz	2019-12-16
Comparisonal study of Deep Learning approaches on Retinal OCT Image Nowshin Tasnim • Mahmudul Hasan • Ishrak Islam	2019-12-16
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation \| Taha Emara • Hossam E. Abd El Munim • Hazem M. Abbas # 1 REAL-TIME SEMANTIC SEGMENTATION ON CITYSCAPES VAL	2019-12-13
AugFPN: Improving Multi-scale Feature Learning for Object Detection \| Chaoxu Guo • Bin Fan • Qian Zhang • Shiming Xiang • Chunhong Pan	2019-12-11
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference \| Thomas Verelst • Tinne Tuytelaars	2019-12-06
Face Detection with Feature Pyramids and Landmarks Samuel W. F. Earp • Pavit Noinongyao • Justin A. Cairns • Ankush Ganguly	2019-12-02
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices \| Bo Chen • Golnaz Ghiasi • Hanxiao Liu • Tsung-Yi Lin • Dmitry Kalenichenko • Hartwig Adams • Quoc V. Le # 82 OBJECT DETECTION ON COCO TEST-DEV	2019-12-02
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters \| Xia Xiao • Zigeng Wang • Sanguthevar Rajasekaran	2019-12-01
QKD: Quantization-aware Knowledge Distillation Jangho Kim • Yash Bhalgat • Jinwon Lee • Chirag Patel • Nojun Kwak	2019-11-28
Crypto-Oriented Neural Architecture Design \| Avital Shafran • Gil Segev • Shmuel Peleg • Yedid Hoshen	2019-11-27
Structured Multi-Hashing for Model Compression Elad Eban • Yair Movshovitz-Attias • Hao Wu • Mark Sandler • Andrew Poon • Yerlan Idelbayev • Miguel A. Carreira-Perpinan	2019-11-25
Compressing Representations for Embedded Deep Learning Juliano S. Assine • Alan Godoy • Eduardo Valle	2019-11-23
Fast Sparse ConvNets \| Erich Elsen • Marat Dukhan • Trevor Gale • Karen Simonyan	2019-11-21
Music theme recognition using CNN and self-attention Manoj Sukhavasi • Sainath Adapa	2019-11-16
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments Zhen-Liang Ni • Gui-Bin Bian • Zeng-Guang Hou • Xiao-Hu Zhou • Xiao-Liang Xie • Zhen Li	2019-10-24
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan • Kartik Gupta • Philip H. S. Torr • Richard Hartley • Puneet K. Dokania	2019-10-18
ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks Ali Ghofrani • Rahil Mahdian Toroghi • Sayed Mojtaba Tabatabaie	2019-10-14
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks \| Qilong Wang • Banggu Wu • Pengfei Zhu • Peihua Li • Wangmeng Zuo • Qinghua Hu # 77 IMAGE CLASSIFICATION ON IMAGENET	2019-10-08
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation \| Hang Gao • Xizhou Zhu • Steve Lin • Jifeng Dai # 51 OBJECT DETECTION ON COCO TEST-DEV	2019-10-07
Improving One-shot NAS by Suppressing the Posterior Fading Xiang Li • Chen Lin • Chuming Li • Ming Sun • Wei Wu • Junjie Yan • Wanli Ouyang	2019-10-06
Urban Sound Tagging using Convolutional Neural Networks \| Sainath Adapa	2019-09-27
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices Prajwal Chidananda • Ayan Sinha • Adithya Rao • Douglas Lee • Andrew Rabinovich	2019-09-12
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block Guoqing Li • Meng Zhang • Qianru Zhang • Ziyang Chen • Wenzhao Liu • Jiaojie Li • Xuzhao Shen • Jianjun Li • Zhenyu Zhu • Chau Yuen	2019-09-03
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators \| Lukas Cavigelli • Georg Rutishauser • Luca Benini	2019-08-30
Mobile Video Action Recognition Yuqi Huo • Xiaoli Xu • Yao Lu • Yulei Niu • Zhiwu Lu • Ji-Rong Wen	2019-08-27
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation Ye Huang • Qingqing Wang • Wenjing Jia • Xiangjian He	2019-08-26
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions \| Duo Li • Aojun Zhou • Anbang Yao	2019-08-11
MobileFAN: Transferring Deep Hidden Representation for Face Alignment Yang Zhao • Yifan Liu • Chunhua Shen • Yongsheng Gao • Shengwu Xiong	2019-08-11
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Chaithanya Kumar Mummadi • Tim Genewein • Dan Zhang • Thomas Brox • Volker Fischer	2019-08-09
Attentive Normalization \| Xilai Li • Wei Sun • Tianfu Wu # 10 INSTANCE SEGMENTATION ON COCO MINIVAL	2019-08-04
Indices Matter: Learning to Index for Deep Image Matting \| Hao Lu • Yutong Dai • Chunhua Shen • Songcen Xu # 2 IMAGE MATTING ON COMPOSITION-1K	2019-08-02
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation Sangyun Oh • Hye-Jin S. Kim • Jongeun Lee • Junmo Kim	2019-07-23
MixConv: Mixed Depthwise Convolutional Kernels \| Mingxing Tan • Quoc V. Le # 78 IMAGE CLASSIFICATION ON IMAGENET	2019-07-22
Hardware Aware Neural Network Architectures using FbNet \| Sai Vineeth Kalluru Srinivas • Harideep Nair • Vinay Vidyasagar	2019-06-17
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network Xukai Xie • Yuan Zhou • Sun-Yuan Kung	2019-06-09
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks Weicheng Li • Rui Wang • Zhongzhi Luan • Di Huang • Zidong Du • Yunji Chen • Depei Qian	2019-05-28
Feature Map Transform Coding for Energy-Efficient CNN Inference \| Brian Chmiel • Chaim Baskin • Ron Banner • Evgenii Zheltonozhskii • Yevgeny Yermolin • Alex Karbachevsky • Alex M. Bronstein • Avi Mendelson	2019-05-26
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks \| Matteo Spallanzani • Lukas Cavigelli • Gian Paolo Leonardi • Marko Bertogna • Luca Benini	2019-05-24
Light-Weight RetinaNet for Object Detection \| Yixing Li • Fengbo Ren	2019-05-24
Dynamic Routing Networks Shaofeng Cai • Yao Shu • Wei Wang • Beng Chin Ooi	2019-05-13
Towards Efficient Model Compression via Learned Global Ranking \| Ting-Wu Chin • Ruizhou Ding • Cha Zhang • Diana Marculescu	2019-04-28
GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts Varun Jain • Gaurav Garg • Ramakrishna Perla • Ramya Hebbalaguppe	2019-04-19
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection \| Golnaz Ghiasi • Tsung-Yi Lin • Ruoming Pang • Quoc V. Le # 16 REAL-TIME OBJECT DETECTION ON COCO	2019-04-16
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CondConv: Conditionally Parameterized Convolutions for Efficient Inference \| Brandon Yang • Gabriel Bender • Quoc V. Le • Jiquan Ngiam # 89 IMAGE CLASSIFICATION ON IMAGENET	2019-04-10
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images Matthias Rottmann • Marius Schubert	2019-04-09
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification Yunyang Xiong • Hyunwoo J. Kim • Varsha Hedau	2019-04-07
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers \| Jiahui Yu • Thomas Huang	2019-03-27
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search Guillaume Michel • Mohammed Amine Alaoui • Alice Lebois • Amal Feriani • Mehdi Felhi	2019-02-05
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IRLAS: Inverse Reinforcement Learning for Architecture Search \| Minghao Guo • Zhao Zhong • Wei Wu • Dahua Lin • Junjie Yan	2018-12-13
An end-to-end approach for speeding up neural network inference Charles Herrmann • Richard Strong Bowen • Ramin Zabih	2018-12-11
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MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin • Chun-Nan Chou • Edward Y. Chang	2018-09-18
A CNN Accelerator on FPGA Using Depthwise Separable Convolution Lin Bai • Yiming Zhao • Xinming Huang	2018-09-03
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks \| Ke Sun • Mingjie Li • Dong Liu • Jingdong Wang	2018-06-01
MobileNetV2: Inverted Residuals and Linear Bottlenecks \| Mark Sandler • Andrew Howard • Menglong Zhu • Andrey Zhmoginov • Liang-Chieh Chen # 5 PANOPTIC SEGMENTATION ON COCO PANOPTIC	2018-01-13

Tasks

TASK	PAPERS	SHARE
Image Classification	26	16.46%
Object Detection	25	15.82%
Semantic Segmentation	18	11.39%
Quantization	12	7.59%
Instance Segmentation	6	3.80%
Model Compression	6	3.80%
Pose Estimation	3	1.90%
Face Recognition	3	1.90%
Person Re-Identification	3	1.90%