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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
Regularizing Activation Distribution for Training Binarized Deep
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Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding
Ting-Wu Chin
Z. Liu
Diana Marculescu
MQ
69
149
0
04 Apr 2019
Resource Efficient 3D Convolutional Neural Networks
Resource Efficient 3D Convolutional Neural Networks
Okan Kopuklu
Neslihan Köse
Ahmet Gunduz
Gerhard Rigoll
69
191
0
04 Apr 2019
A Comprehensive Overhaul of Feature Distillation
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo
Jeesoo Kim
Sangdoo Yun
Hyojin Park
Nojun Kwak
J. Choi
139
587
0
03 Apr 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
100
515
0
03 Apr 2019
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based
  Tasks
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Ty Nguyen
Shreyas S. Shivakumar
Ian D. Miller
J. Keller
Elijah S. Lee
...
Giuseppe Loianno
Joseph H. Harwood
J. Wozencraft
Camillo J Taylor
Vijay Kumar
SSeg
82
35
0
03 Apr 2019
Exploring Randomly Wired Neural Networks for Image Recognition
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie
Alexander Kirillov
Ross B. Girshick
Kaiming He
93
365
0
02 Apr 2019
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
Chloe LeGendre
Wan-Chun Ma
Graham Fyffe
John Flynn
Laurent Charbonnel
Jay Busch
P. Debevec
65
124
0
02 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo
Xiangyu Zhang
Haoyuan Mu
Wen Heng
Zechun Liu
Yichen Wei
Jian Sun
194
941
0
31 Mar 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural
  Networks
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
Xijun Wang
Meina Kan
Shiguang Shan
Xilin Chen
72
71
0
31 Mar 2019
ESFNet: Efficient Network for Building Extraction from High-Resolution
  Aerial Images
ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images
Jingbo Lin
Weipeng Jing
Houbing Song
Guangsheng Chen
71
47
0
29 Mar 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
106
227
0
28 Mar 2019
Parabolic Approximation Line Search for DNNs
Parabolic Approximation Line Search for DNNs
Max Mutschler
A. Zell
ODL
95
20
0
28 Mar 2019
ThunderNet: Towards Real-time Generic Object Detection
ThunderNet: Towards Real-time Generic Object Detection
Zheng Qin
Zeming Li
Zhaoning Zhang
Yiping Bao
Gang Yu
Yuxing Peng
Jian Sun
ObjD
65
256
0
28 Mar 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
K. Cheng
Jian Sun
104
564
0
25 Mar 2019
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
Mason Liu
Menglong Zhu
Marie White
Yinxiao Li
Dmitry Kalenichenko
84
83
0
25 Mar 2019
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
85
67
0
23 Mar 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning
  and Quantization Rates using ADMM
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
Shaokai Ye
Xiaoyu Feng
Tianyun Zhang
Xiaolong Ma
Sheng Lin
...
Jian Tang
M. Fardad
Xinyu Lin
Yongpan Liu
Yanzhi Wang
MQ
82
38
0
23 Mar 2019
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle
  Tracking and Re-Identification
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang
M. Naphade
Ming-Yuan Liu
Xiaodong Yang
Stan Birchfield
Shuo Wang
Ratnesh Kumar
D. Anastasiu
Lei Li
83
376
0
21 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric padding
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
49
70
0
20 Mar 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point
  Inference of Deep Neural Networks
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain
Albert Gural
Michael Wu
Chris Dick
MQ
112
152
0
19 Mar 2019
Geometry-constrained Car Recognition Using a 3D Perspective Network
Geometry-constrained Car Recognition Using a 3D Perspective Network
Rui Zeng
Z. Ge
Simon Denman
Sridha Sridharan
Clinton Fookes
3DPC
57
9
0
19 Mar 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via
  Human-Machine Collaborative Design
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
A. Wong
Z. Q. Lin
Brendan Chwyl
HAI
57
14
0
18 Mar 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
109
2,062
0
15 Mar 2019
GolfDB: A Video Database for Golf Swing Sequencing
GolfDB: A Video Database for Golf Swing Sequencing
William J. McNally
Kanav Vats
T. Pinto
Chris Dulhanty
J. McPhee
A. Wong
59
55
0
15 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural
  Networks for Image Classification
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
63
81
0
13 Mar 2019
Knowledge Adaptation for Efficient Semantic Segmentation
Knowledge Adaptation for Efficient Semantic Segmentation
Tong He
Chunhua Shen
Zhi Tian
Dong Gong
Changming Sun
Youliang Yan
SSeg
93
226
0
12 Mar 2019
Structured Knowledge Distillation for Dense Prediction
Structured Knowledge Distillation for Dense Prediction
Yifan Liu
Chris Liu
Jingdong Wang
Zhenbo Luo
128
586
0
11 Mar 2019
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
Diana Wofk
Fangchang Ma
Tien-Ju Yang
S. Karaman
Vivienne Sze
MDE
93
298
0
08 Mar 2019
Focused Quantization for Sparse CNNs
Focused Quantization for Sparse CNNs
Yiren Zhao
Xitong Gao
Daniel Bates
Robert D. Mullins
Chengzhong Xu
MQ
66
27
0
07 Mar 2019
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic
  Scene Completion
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
Jie Li
Yu Liu
Dong Gong
Javen Qinfeng Shi
Xia Yuan
Chunxia Zhao
Ian Reid
3DPC
67
84
0
02 Mar 2019
PFLD: A Practical Facial Landmark Detector
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo
Siyuan Li
Jinke Yu
Jiawan Zhang
Jiayi Ma
Lin Ma
Wen Liu
Haibin Ling
ObjD3DHCVBM
90
152
0
28 Feb 2019
Robust Re-identification of Manta Rays from Natural Markings by Learning
  Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak
Frederic Maire
A. Armstrong
Feras Dayoub
Mahsa Baktash
66
38
0
28 Feb 2019
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection
Yaojie Liu
Ying Tai
Jilin Li
Shouhong Ding
Chengjie Wang
Feiyue Huang
Dongyang Li
Wenshuai Qi
Rongrong Ji
PICVCVBM
67
25
0
27 Feb 2019
STAR-Net: Action Recognition using Spatio-Temporal Activation
  Reprojection
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
William J. McNally
A. Wong
J. McPhee
HAI3DH
65
26
0
26 Feb 2019
Towards Corner Case Detection for Autonomous Driving
Towards Corner Case Detection for Autonomous Driving
Jan-Aike Termöhlen
Andreas Bär
Daniel Lipinski
Tim Fingscheidt
AAML
86
96
0
25 Feb 2019
Illumination-invariant Face recognition by fusing thermal and visual
  images via gradient transfer
Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
S. Agarwal
Harshit S. Sikchi
Suparna Rooj
Shubhobrata Bhattacharya
Aurobinda Routray
CVBM
19
7
0
23 Feb 2019
Similarity Learning Networks for Animal Individual Re-Identification --
  Beyond the Capabilities of a Human Observer
Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer
Stefan Schneider
Graham W. Taylor
Stefan S. Linquist
Stefan C. Kremer
51
64
0
21 Feb 2019
Patch-based Output Space Adversarial Learning for Joint Optic Disc and
  Cup Segmentation
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Shujun Wang
Lequan Yu
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
MedIm
69
223
0
20 Feb 2019
An efficient solution for semantic segmentation: ShuffleNet V2 with
  atrous separable convolutions
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
Sercan Turkmen
J. Heikkilä
SSeg
48
23
0
20 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou
Feng Guo
Lantao Liu
Minje Kim
Lei Jiang
MQ
105
98
0
15 Feb 2019
DeeperLab: Single-Shot Image Parser
DeeperLab: Single-Shot Image Parser
Tien-Ju Yang
Maxwell D. Collins
Yukun Zhu
Jyh-Jing Hwang
Ting Liu
Xiao Zhang
Vivienne Sze
George Papandreou
Liang-Chieh Chen
SSegVLM
129
191
0
13 Feb 2019
Fast-SCNN: Fast Semantic Segmentation Network
Fast-SCNN: Fast Semantic Segmentation Network
Rudra P. K. Poudel
Stephan Liwicki
R. Cipolla
SSeg
57
516
0
12 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks
Bag of Freebies for Training Object Detection Neural Networks
Zhi-Li Zhang
Tong He
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
VLMObjD
85
190
0
11 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization
  Framework
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui
Haotao Wang
Chen Yu
Haichuan Yang
Zhangyang Wang
Ji Liu
MQ
79
139
0
10 Feb 2019
FSNet: Compression of Deep Convolutional Neural Networks by Filter
  Summary
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang
Jiahui Yu
Nebojsa Jojic
Jun Huan
Thomas S. Huang
55
17
0
08 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
100
159
0
03 Feb 2019
Real-Time Freespace Segmentation on Autonomous Robots for Detection of
  Obstacles and Drop-Offs
Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs
Anish Singhani
38
3
0
03 Feb 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
72
23
0
02 Feb 2019
Learnable Embedding Space for Efficient Neural Architecture Compression
Learnable Embedding Space for Efficient Neural Architecture Compression
Shengcao Cao
Xiaofang Wang
Kris Kitani
89
43
0
01 Feb 2019
Convolutional Neural Networks with Layer Reuse
Convolutional Neural Networks with Layer Reuse
Okan Kopuklu
M. Babaee
S. Hörmann
Gerhard Rigoll
47
17
0
28 Jan 2019
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