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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 / 4,682 papers shown
Title
Searching by Generating: Flexible and Efficient One-Shot NAS with
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Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
70
26
0
12 Mar 2021
Learnable Companding Quantization for Accurate Low-bit Neural Networks
Learnable Companding Quantization for Accurate Low-bit Neural Networks
Kohei Yamamoto
MQ
95
68
0
12 Mar 2021
Fast and Accurate Model Scaling
Fast and Accurate Model Scaling
Piotr Dollár
Mannat Singh
Ross B. Girshick
77
98
0
11 Mar 2021
ACTION-Net: Multipath Excitation for Action Recognition
ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang
Qi She
A. Smolic
3DPC
81
172
0
11 Mar 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural
  Architecture Search
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search
Xiangzhong Luo
Di Liu
Shuo Huai
Weichen Liu
47
6
0
11 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual
  Recognition
Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
Qifeng Chen
BDL
86
306
0
10 Mar 2021
Quantization-Guided Training for Compact TinyML Models
Quantization-Guided Training for Compact TinyML Models
Sedigh Ghamari
Koray Ozcan
Thu Dinh
A. Melnikov
Juan Carvajal
Jan Ernst
S. Chai
MQ
65
18
0
10 Mar 2021
RL-CSDia: Representation Learning of Computer Science Diagrams
RL-CSDia: Representation Learning of Computer Science Diagrams
Shaowei Wang
LingLing Zhang
Xuan Luo
Yi Yang
Xin Hu
Jun Liu
3DV
37
2
0
10 Mar 2021
Manifold Regularized Dynamic Network Pruning
Manifold Regularized Dynamic Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Yiping Deng
Chao Xu
Dacheng Tao
Chang Xu
81
93
0
10 Mar 2021
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
Yinan He
Bei Gan
Siyu Chen
Yichun Zhou
Guojun Yin
Luchuan Song
Lu Sheng
Jing Shao
Ziwei Liu
AAML
130
137
0
09 Mar 2021
Predictive Visual Tracking: A New Benchmark and Baseline Approach
Predictive Visual Tracking: A New Benchmark and Baseline Approach
Bowen Li
Yiming Li
Junjie Ye
Changhong Fu
Hang Zhao
88
6
0
08 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey
  and Research Challenges
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara
Marco Levorato
Francesco Restuccia
139
215
0
08 Mar 2021
Efficient Model Performance Estimation via Feature Histories
Efficient Model Performance Estimation via Feature Histories
Shengcao Cao
Xiaofang Wang
Kris Kitani
120
1
0
07 Mar 2021
A Real-time Low-cost Artificial Intelligence System for Autonomous
  Spraying in Palm Plantations
A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
Zhenwang Qin
Wensheng Wang
K. Dammer
Leifeng Guo
Zhen Cao
70
5
0
06 Mar 2021
Fast Interactive Video Object Segmentation with Graph Neural Networks
Fast Interactive Video Object Segmentation with Graph Neural Networks
Viktor Varga
András Lőrincz
VOS
64
11
0
05 Mar 2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image
  Segmentation
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun
Yan Wang
Jieneng Chen
Huiyu Wang
Wei Shen
Qingli Li
ViTMedIm
99
50
0
05 Mar 2021
Environmental Sound Classification on the Edge: A Pipeline for Deep
  Acoustic Networks on Extremely Resource-Constrained Devices
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman
Christoph Bergmeir
I. West
B. Meyer
150
43
0
05 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
82
56
0
05 Mar 2021
Anycost GANs for Interactive Image Synthesis and Editing
Anycost GANs for Interactive Image Synthesis and Editing
Ji Lin
Richard Y. Zhang
F. Ganz
Song Han
Jun-Yan Zhu
143
86
0
04 Mar 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
112
39
0
04 Mar 2021
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou
Daquan Zhou
Jiashi Feng
114
3,140
0
04 Mar 2021
SVMax: A Feature Embedding Regularizer
SVMax: A Feature Embedding Regularizer
Ahmed Taha
Alex Hanson
Abhinav Shrivastava
L. Davis
47
0
0
04 Mar 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
111
35
0
02 Mar 2021
Self-restrained Triplet Loss for Accurate Masked Face Recognition
Self-restrained Triplet Loss for Accurate Masked Face Recognition
Fadi Boutros
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
CVBM
70
106
0
02 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model
  Personalization
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
Bingyan Liu
Yao Guo
Xiangqun Chen
FedML
76
87
0
02 Mar 2021
Feature-Align Network with Knowledge Distillation for Efficient
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Feature-Align Network with Knowledge Distillation for Efficient Denoising
Lucas D. Young
F. Reda
Rakesh Ranjan
Jon Morton
Jun Hu
Y. Ling
Xiaoyu Xiang
David Liu
Vikas Chandra
77
3
0
02 Mar 2021
AdeNet: Deep learning architecture that identifies damaged electrical
  insulators in power lines
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
Ademola Okerinde
L. Shamir
W. Hsu
T. Theis
47
3
0
02 Mar 2021
DeepReDuce: ReLU Reduction for Fast Private Inference
DeepReDuce: ReLU Reduction for Fast Private Inference
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
101
91
0
02 Mar 2021
Virus-MNIST: A Benchmark Malware Dataset
Virus-MNIST: A Benchmark Malware Dataset
David Noever
S. M. Noever
420
15
0
28 Feb 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
113
60
0
28 Feb 2021
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Yong Guo
Yaofo Chen
Yin Zheng
Qi Chen
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
57
7
0
27 Feb 2021
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose
  Estimation
ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
A. P. Fard
Hojjat Abdollahi
Mohammad H. Mahoor
3DPCCVBM
118
30
0
27 Feb 2021
A Universal Model for Cross Modality Mapping by Relational Reasoning
A Universal Model for Cross Modality Mapping by Relational Reasoning
Zun Li
Congyan Lang
Liqian Liang
Tao Wang
Songhe Feng
Jun Wu
Yidong Li
66
2
0
26 Feb 2021
A statistical framework for efficient out of distribution detection in
  deep neural networks
A statistical framework for efficient out of distribution detection in deep neural networks
Matan Haroush
Tzviel Frostig
R. Heller
Daniel Soudry
OODD
104
39
0
25 Feb 2021
Confidence Calibration with Bounded Error Using Transformations
Confidence Calibration with Bounded Error Using Transformations
Sooyong Jang
Radoslav Ivanov
Insup Lee
James Weimer
UQCV
34
3
0
25 Feb 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in
  Post-Hoc Uncertainty Calibration
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
Christian Tomani
Zorah Lähner
Florian Buettner
UQCV
54
36
0
24 Feb 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman
Y. Aflalo
Asaf Noy
Lihi Zelnik-Manor
89
33
0
23 Feb 2021
Comparative evaluation of CNN architectures for Image Caption Generation
Comparative evaluation of CNN architectures for Image Caption Generation
Sulabh Katiyar
S. Borgohain
81
24
0
23 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You
Yong Liu
Jianmin Wang
Mingsheng Long
107
190
0
22 Feb 2021
Learning Purified Feature Representations from Task-irrelevant Labels
Learning Purified Feature Representations from Task-irrelevant Labels
Hai-Tao Zheng
Chen Wang
Yongqian Li
Haitao Zheng
Ning Ding
31
3
0
22 Feb 2021
MetaDelta: A Meta-Learning System for Few-shot Image Classification
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen
Chaoyu Guan
Zhikun Wei
Xin Eric Wang
Wenwu Zhu
VLM
59
18
0
22 Feb 2021
Improved Semantic Segmentation of Tuberculosis-consistent findings in
  Chest X-rays Using Augmented Training of Modality-specific U-Net Models with
  Weak Localizations
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations
S. Rajaraman
L. Folio
Jane Dimperio
P. Alderson
Sameer Kiran Antani
35
1
0
21 Feb 2021
Efficient Two-Stream Network for Violence Detection Using Separable
  Convolutional LSTM
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
Zahidul Islam
M. Rukonuzzaman
Raiyan Ahmed
M. H. Kabir
M. Farazi
65
42
0
21 Feb 2021
MHDeep: Mental Health Disorder Detection System based on Body-Area and
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MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
Shayan Hassantabar
Joe Zhang
Hongxu Yin
N. Jha
87
6
0
20 Feb 2021
Towards Accurate and Compact Architectures via Neural Architecture
  Transformer
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Yong Guo
Yin Zheng
Mingkui Tan
Qi Chen
Zhipeng Li
Jian Chen
P. Zhao
Junzhou Huang
ViTMQ
57
38
0
20 Feb 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Yanqi Zhou
Xuanyi Dong
Berkin Akin
Mingxing Tan
Daiyi Peng
Tianjian Meng
Amir Yazdanbakhsh
Da Huang
Ravi Narayanaswami
James Laudon
147
26
0
17 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
359
181
0
17 Feb 2021
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure
  Dataset Release
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release
Liam H. Fowl
Ping Yeh-Chiang
Micah Goldblum
Jonas Geiping
Arpit Bansal
W. Czaja
Tom Goldstein
83
43
0
16 Feb 2021
SiMaN: Sign-to-Magnitude Network Binarization
SiMaN: Sign-to-Magnitude Network Binarization
Mingbao Lin
Rongrong Ji
Zi-Han Xu
Baochang Zhang
Yong Li
Chia-Wen Lin
Ling Shao
AAMLMQ
107
28
0
16 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
216
45
0
16 Feb 2021
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