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MobileNetV2: Inverted Residuals and Linear Bottlenecks
v1v2v3v4 (latest)

MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
ArXiv (abs)PDFHTML

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

50 / 4,680 papers shown
Title
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
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Xiaoxing Wang
Bo Zhang
Shun Lu
Xiaolin K. Wei
Junchi Yan
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0
02 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
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A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
112
168
0
01 Sep 2020
Recognition Oriented Iris Image Quality Assessment in the Feature Space
Recognition Oriented Iris Image Quality Assessment in the Feature Space
Leyuan Wang
Kunbo Zhang
Min Ren
Yunlong Wang
Zhenan Sun
CVBM
54
4
0
01 Sep 2020
Human Blastocyst Classification after In Vitro Fertilization Using Deep
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Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning
Ali Akbar Septiandri
A. Jamal
P. Iffanolida
O. Riayati
B. Wiweko
54
9
0
28 Aug 2020
One Shot 3D Photography
One Shot 3D Photography
Johannes Kopf
Kevin Blackburn-Matzen
Suhib Alsisan
Ocean Quigley
Francis Ge
...
Peizhao Zhang
Zijian He
Peter Vajda
Ayush Saraf
Michael F. Cohen
110
80
0
27 Aug 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down
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MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Benlin Liu
Yongming Rao
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
77
37
0
27 Aug 2020
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention
  and Alertness Analysis
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
J. Ortega
Neslihan Köse
P. Cañas
Min-An Chao
A. Unnervik
Marcos Nieto
Oihana Otaegui
L. Salgado
87
93
0
27 Aug 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment
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DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei
Mohsen Azarmi
87
155
0
26 Aug 2020
Cross-Spectral Periocular Recognition with Conditional Adversarial
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Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Kevin Hernandez Diaz
F. Alonso-Fernandez
J. Bigün
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12
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26 Aug 2020
FastSal: a Computationally Efficient Network for Visual Saliency
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FastSal: a Computationally Efficient Network for Visual Saliency Prediction
Feiyan Hu
Kevin McGuinness
FAtt
64
16
0
25 Aug 2020
Bosch Deep Learning Hardware Benchmark
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Armin Runge
Thomas Wenzel
Dimitrios Bariamis
B. Staffler
Lucas Drumond
Michael Pfeiffer
40
0
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24 Aug 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks
Automated Search for Resource-Efficient Branched Multi-Task Networks
David Brüggemann
Menelaos Kanakis
Stamatios Georgoulis
Luc Van Gool
86
65
0
24 Aug 2020
Mobile Networks for Computer Go
Mobile Networks for Computer Go
Tristan Cazenave
38
13
0
23 Aug 2020
One Weight Bitwidth to Rule Them All
One Weight Bitwidth to Rule Them All
Ting-Wu Chin
P. Chuang
Vikas Chandra
Diana Marculescu
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67
25
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Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of
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Arber Zela
Julien N. Siems
Lucas Zimmer
Jovita Lukasik
Margret Keuper
Frank Hutter
81
81
0
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Howl: A Deployed, Open-Source Wake Word Detection System
Howl: A Deployed, Open-Source Wake Word Detection System
Raphael Tang
Jaejun Lee
Afsaneh Razi
Julia Cambre
Ian Bicking
Jofish Kaye
Jimmy J. Lin
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52
17
0
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Multi-scale Interaction for Real-time LiDAR Data Segmentation on an
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Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform
Shijie Li
Xieyuanli Chen
Yun-Hai Liu
Dengxin Dai
C. Stachniss
Juergen Gall
3DPC
91
82
0
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Yet Another Intermediate-Level Attack
Yet Another Intermediate-Level Attack
Qizhang Li
Yiwen Guo
Hao Chen
AAML
59
52
0
20 Aug 2020
Channel-wise Hessian Aware trace-Weighted Quantization of Neural
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Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks
Xu Qian
Victor Li
Darren Crews
MQ
51
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0
19 Aug 2020
Learning Connectivity of Neural Networks from a Topological Perspective
Learning Connectivity of Neural Networks from a Topological Perspective
Kun Yuan
Quanquan Li
Jing Shao
Junjie Yan
121
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Discovering Multi-Hardware Mobile Models via Architecture Search
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Grace Chu
Okan Arikan
Gabriel Bender
Weijun Wang
Achille Brighton
Pieter-Jan Kindermans
Hanxiao Liu
Berkin Akin
Suyog Gupta
Andrew G. Howard
MQ
93
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Feature Products Yield Efficient Networks
Feature Products Yield Efficient Networks
Philipp Grüning
T. Martinetz
Erhardt Barth
18
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Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
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Dawei Sun
62
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Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming
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Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming Networks
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DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT
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DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
Luca Bompani
Angelo Garofalo
Nazareno Bruschi
Giuseppe Tagliavini
D. Rossi
Francesco Conti
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Cascaded channel pruning using hierarchical self-distillation
Cascaded channel pruning using hierarchical self-distillation
Roy Miles
K. Mikolajczyk
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RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
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Tyler L. Hayes
Christopher Kanan
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SPINN: Synergistic Progressive Inference of Neural Networks over Device
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Nicholas D. Lane
105
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Can weight sharing outperform random architecture search? An
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Gabriel Bender
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Bo Chen
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Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
OOD
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TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained
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Yibo Hu
Xiang Wu
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Representative Graph Neural Network
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Yifan Liu
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Leveraging Automated Mixed-Low-Precision Quantization for tiny edge
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Hardware-Centric AutoML for Mixed-Precision Quantization
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Ji Lin
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PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
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HAPI: Hardware-Aware Progressive Inference
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NASB: Neural Architecture Search for Binary Convolutional Neural
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Structured Convolutions for Efficient Neural Network Design
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Cross-Domain Facial Expression Recognition: A Unified Evaluation
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Tao Pu
Hefeng Wu
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K. Thakral
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Multi-Scale Deep Compressive Imaging
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