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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 / 4,681 papers shown
Title
Making Substitute Models More Bayesian Can Enhance Transferability of
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Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
127
37
0
10 Feb 2023
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels
Qi Chen
Chao Li
Jia Ning
Stephen Lin
Kun He
AAML
91
2
0
09 Feb 2023
Toward Extremely Lightweight Distracted Driver Recognition With
  Distillation-Based Neural Architecture Search and Knowledge Transfer
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu
T. Yamasaki
Yu Wang
K. Mase
Jien Kato
92
28
0
09 Feb 2023
Masking Kernel for Learning Energy-Efficient Representations for Speaker
  Recognition and Mobile Health
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health
Apiwat Ditthapron
E. Agu
A. Lammert
73
0
0
08 Feb 2023
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable
  Facial Activity Recognition
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
Hymalai Bello
Luis Alfredo Sanchez Marin
Sungho Suh
Bo Zhou
P. Lukowicz
CVBM
36
21
0
08 Feb 2023
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular
  Automata
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
John Kalkhof
Camila González
Anirban Mukhopadhyay
43
15
0
07 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDLAI4TS
149
111
0
06 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
133
20
0
05 Feb 2023
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image
  Classification
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
Zhao Liu
Leizhao Shen
ViT
74
9
0
05 Feb 2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation
  Based Private Inference
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Nuo Xu
Shijin Duan
...
Chenghong Wang
Tong Geng
Wujie Wen
Xiaolin Xu
Caiwen Ding
78
17
0
05 Feb 2023
Revisiting Image Deblurring with an Efficient ConvNet
Revisiting Image Deblurring with an Efficient ConvNet
Lingyan Ruan
Mojtaba Bemana
Hans-peter Seidel
K. Myszkowski
Bin Chen
73
13
0
04 Feb 2023
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server
  with Denoising
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising
S. Ozer
Hüseyin Enes Ilhan
Mehmet Akif Ozkanoglu
H. A. Çırpan
42
14
0
03 Feb 2023
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and
  Early Exits
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits
Simone Sarti
Eugenio Lomurno
Andrea Falanti
Matteo Matteucci
84
3
0
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SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
D. Gritzner
Jörn Ostermann
65
0
0
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ResMem: Learn what you can and memorize the rest
ResMem: Learn what you can and memorize the rest
Zitong Yang
Michal Lukasik
Vaishnavh Nagarajan
Zong-xiao Li
A. S. Rawat
Manzil Zaheer
A. Menon
Surinder Kumar
VLM
92
8
0
03 Feb 2023
SHINE: Deep Learning-Based Accessible Parking Management System
SHINE: Deep Learning-Based Accessible Parking Management System
Dhiraj Neupane
A. Bhattarai
Sunil Aryal
Mohamed Reda Bouadjenek
Uk-Min Seok
Jong-Hoon Seok
47
23
0
02 Feb 2023
A Survey of Deep Learning: From Activations to Transformers
A Survey of Deep Learning: From Activations to Transformers
Johannes Schneider
Michalis Vlachos
ViTMedImAI4TSAI4CE
112
10
0
01 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
Yifan Zhang
Xue Wang
Jian Liang
Zhang Zhang
Liangsheng Wang
Rong Jin
Tien-Ping Tan
143
43
0
01 Feb 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
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Zhengyu Zhao
Martha Larson
95
37
0
31 Jan 2023
Patch Gradient Descent: Training Neural Networks on Very Large Images
Patch Gradient Descent: Training Neural Networks on Very Large Images
D. K. Gupta
Gowreesh Mago
Arnav Chavan
Dilip K. Prasad
73
2
0
31 Jan 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
57
2
0
31 Jan 2023
Training with Mixed-Precision Floating-Point Assignments
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Wonyeol Lee
Rahul Sharma
A. Aiken
MQ
47
3
0
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Accurate Gaze Estimation using an Active-gaze Morphable Model
Hao Sun
Nick E. Pears
3DH
58
0
0
30 Jan 2023
On student-teacher deviations in distillation: does it pay to disobey?
On student-teacher deviations in distillation: does it pay to disobey?
Vaishnavh Nagarajan
A. Menon
Srinadh Bhojanapalli
H. Mobahi
Surinder Kumar
137
10
0
30 Jan 2023
PromptMix: Text-to-image diffusion models enhance the performance of
  lightweight networks
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
VLMDiffM
133
3
0
30 Jan 2023
DepGraph: Towards Any Structural Pruning
DepGraph: Towards Any Structural Pruning
Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
GNN
180
276
0
30 Jan 2023
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing
  System
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
Chen Kong
Kexin Zheng
Yebin Liu
Shiqi Wang
Anderson de Rezende Rocha
Haoliang Li
CVBMAAML
94
8
0
30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
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Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
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105
0
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Pipe-BD: Pipelined Parallel Blockwise Distillation
Pipe-BD: Pipelined Parallel Blockwise Distillation
Hongsun Jang
Jaewon Jung
Jaeyong Song
Joonsang Yu
Youngsok Kim
Jinho Lee
MoEAI4CE
82
2
0
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FedRC: Tackling Diverse Distribution Shifts Challenge in Federated
  Learning by Robust Clustering
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Yongxin Guo
Xiaoying Tang
Tao R. Lin
OODFedML
106
10
0
29 Jan 2023
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
62
14
0
29 Jan 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic
  Programming
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Jinuk Kim
Yeonwoo Jeong
Deokjae Lee
Hyun Oh Song
133
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28 Jan 2023
Bio-inspired Autonomous Exploration Policies with CNN-based Object
  Detection on Nano-drones
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones
Lorenzo Lamberti
Luca Bompani
V. Kartsch
Manuele Rusci
Daniele Palossi
Luca Benini
83
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Improved knowledge distillation by utilizing backward pass knowledge in
  neural networks
Improved knowledge distillation by utilizing backward pass knowledge in neural networks
A. Jafari
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A. Ghodsi
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Streaming LifeLong Learning With Any-Time Inference
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Vinay P. Namboodiri
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BOMP-NAS: Bayesian Optimization Mixed Precision NAS
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Learning to Unlearn: Instance-wise Unlearning for Pre-trained
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Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
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154
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The Power of Linear Combinations: Learning with Random Convolutions
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Paul Gavrikov
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ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
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Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
123
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BiBench: Benchmarking and Analyzing Network Binarization
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Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQAAML
110
37
0
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Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
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Heechul Jung
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78
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26 Jan 2023
Distilling Cognitive Backdoor Patterns within an Image
Distilling Cognitive Backdoor Patterns within an Image
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Xingjun Ma
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Connecting metrics for shape-texture knowledge in computer vision
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Tiago Marques
Arlindo L. Oliveira
37
0
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25 Jan 2023
Lightweight Neural Architecture Search for Temporal Convolutional
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Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Matteo Risso
Luca Bompani
Francesco Conti
Lorenzo Lamberti
Yukai Chen
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
88
34
0
24 Jan 2023
Progressive Meta-Pooling Learning for Lightweight Image Classification
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Progressive Meta-Pooling Learning for Lightweight Image Classification Model
Peijie Dong
Xin-Yi Niu
Zhiliang Tian
Lujun Li
Xiaodong Wang
Zimian Wei
H. Pan
Dongsheng Li
VLM
74
7
0
24 Jan 2023
PowerQuant: Automorphism Search for Non-Uniform Quantization
PowerQuant: Automorphism Search for Non-Uniform Quantization
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
MQ
63
17
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24 Jan 2023
GAN-Based Object Removal in High-Resolution Satellite Images
GAN-Based Object Removal in High-Resolution Satellite Images
Hadi Mansourifar
S. Simske
GAN
62
3
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24 Jan 2023
Enabling Hard Constraints in Differentiable Neural Network and
  Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Deokki Hong
Kanghyun Choi
Hyeyoon Lee
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
48
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23 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DVAI4CE
131
143
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20 Jan 2023
A Comparative Analysis of CNN-Based Pretrained Models for the Detection
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A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox
Sourav Saha
Trina Chakraborty
R. Sulaiman
Tithi Paul
23
6
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20 Jan 2023
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