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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 / 4,665 papers shown
Title
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly
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SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures
Hsin-Pai Cheng
Tunhou Zhang
Yukun Yang
Feng Yan
Shiyu Li
Harris Teague
H. Li
Yiran Chen
77
11
0
19 Jun 2019
Prune and Replace NAS
Prune and Replace NAS
Kevin Laube
A. Zell
66
13
0
18 Jun 2019
Hardware Aware Neural Network Architectures using FbNet
Hardware Aware Neural Network Architectures using FbNet
S. Srinivas
Harideep Nair
Vinay Vidyasagar
30
5
0
17 Jun 2019
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
Chen-Da Liu-Zhang
Xin-Xin Liu
Jianxin Wu
HAI
31
9
0
17 Jun 2019
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal
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Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction
Steven Hickson
Karthik Raveendran
Alireza Fathi
Kevin Patrick Murphy
Irfan Essa
87
17
0
16 Jun 2019
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
Y. Yoo
Dongyoon Han
Sangdoo Yun
CVBM
111
43
0
15 Jun 2019
Factorized Higher-Order CNNs with an Application to Spatio-Temporal
  Emotion Estimation
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
Jean Kossaifi
Antoine Toisoul
Adrian Bulat
Yannis Panagakis
Timothy M. Hospedales
Maja Pantic
CVBM
56
80
0
14 Jun 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLMSLRViT
173
1,217
0
13 Jun 2019
ATRW: A Benchmark for Amur Tiger Re-identification in the Wild
ATRW: A Benchmark for Amur Tiger Re-identification in the Wild
Shuyuan Li
Jianguo Li
Hanlin Tang
Rui Qian
Weiyao Lin
85
37
0
13 Jun 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural
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Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
William Harvey
Michael Teng
Frank Wood
50
4
0
13 Jun 2019
Visual Wake Words Dataset
Visual Wake Words Dataset
Aakanksha Chowdhery
Pete Warden
Jonathon Shlens
Andrew G. Howard
Rocky Rhodes
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88
102
0
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Data-Free Quantization Through Weight Equalization and Bias Correction
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Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
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101
515
0
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NAS-FCOS: Fast Neural Architecture Search for Object Detection
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
104
193
0
11 Jun 2019
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network
Xukai Xie
Yuan Zhou
S. Kung
27
3
0
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Four Things Everyone Should Know to Improve Batch Normalization
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Cecilia Summers
M. Dinneen
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52
0
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Reducing the variance in online optimization by transporting past
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Sébastien M. R. Arnold
Pierre-Antoine Manzagol
Reza Babanezhad
Ioannis Mitliagkas
Nicolas Le Roux
84
28
0
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DiCENet: Dimension-wise Convolutions for Efficient Networks
DiCENet: Dimension-wise Convolutions for Efficient Networks
Sachin Mehta
Hannaneh Hajishirzi
Mohammad Rastegari
101
43
0
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Fighting Quantization Bias With Bias
Fighting Quantization Bias With Bias
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
82
57
0
07 Jun 2019
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN
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Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
Tianxing Li
Zhi Yu
Edmund Phung
Brendan Duke
I. Kezele
P. Aarabi
3DHCVBM
88
7
0
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Butterfly Transform: An Efficient FFT Based Neural Architecture Design
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Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
138
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0
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Geo-Aware Networks for Fine-Grained Recognition
Geo-Aware Networks for Fine-Grained Recognition
Grace Chu
B. Potetz
Weijun Wang
Andrew G. Howard
Yang Song
Fernando Brucher
Thomas Leung
Hartwig Adam
ObjD
72
86
0
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Deeply-supervised Knowledge Synergy
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Anbang Yao
Aojun Zhou
Hao Zhao
54
15
0
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Discovering Neural Wirings
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Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
122
121
0
03 Jun 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of
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Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
Qigong Sun
Fanhua Shang
Kan Yang
Xiufang Li
Yan Ren
L. Jiao
MQ
70
12
0
31 May 2019
DeepShift: Towards Multiplication-Less Neural Networks
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Mostafa Elhoushi
Zihao Chen
F. Shafiq
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Joey Yiwei Li
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131
102
0
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P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in
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Bingzhe Wu
Shiwan Zhao
Guangyu Sun
Xiaolu Zhang
Zhong Su
C. Zeng
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70
41
0
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Attention Based Pruning for Shift Networks
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G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
98
25
0
29 May 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained
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Igor Fedorov
Ryan P. Adams
Matthew Mattina
P. Whatmough
96
168
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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Mingxing Tan
Quoc V. Le
3DVMedIm
283
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CompactNet: Platform-Aware Automatic Optimization for Convolutional
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Rui Wang
Zhongzhi Luan
Di Huang
Zidong Du
Yunji Chen
D. Qian
27
1
0
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Label Universal Targeted Attack
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Mixed Precision DNNs: All you need is a good parametrization
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Fabien Cardinaux
K. Yoshiyama
Javier Alonso García
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Thomas Kemp
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MQ
108
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0
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Learning to Auto Weight: Entirely Data-driven and Highly Efficient
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Zhenmao Li
Yichao Wu
Ken Chen
Yudong Wu
Shunfeng Zhou
Jiaheng Liu
Junjie Yan
69
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0
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Incremental Learning Using a Grow-and-Prune Paradigm with Efficient
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Xiaoliang Dai
Hongxu Yin
N. Jha
88
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Feature Map Transform Coding for Energy-Efficient CNN Inference
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ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking
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Additive Noise Annealing and Approximation Properties of Quantized
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FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
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Network Pruning via Transformable Architecture Search
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Spatial Group-wise Enhance: Improving Semantic Feature Learning in
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Fine-grained Optimization of Deep Neural Networks
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Lightweight Network Architecture for Real-Time Action Recognition
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Sparse Transfer Learning via Winning Lottery Tickets
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Rongrong Ji
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EmBench: Quantifying Performance Variations of Deep Neural Networks
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Stefanos Laskaridis
Ilias Leontiadis
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Budget-Aware Adapters for Multi-Domain Learning
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Rodrigo Berriel
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Thiago Oliveira-Santos
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Elisa Ricci
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Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu
Wenjie Huang
Ali Shafahi
Hengduo Li
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Christoph Studer
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Object Detection in 20 Years: A Survey
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