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Searching for MobileNetV3

Searching for MobileNetV3

6 May 2019
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
Mingxing Tan
Weijun Wang
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
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Papers citing "Searching for MobileNetV3"

50 / 1,814 papers shown
Title
Extending Label Smoothing Regularization with Self-Knowledge
  Distillation
Extending Label Smoothing Regularization with Self-Knowledge Distillation
Jiyue Wang
Pei Zhang
Wenjie Pang
Jie Li
6
0
0
11 Sep 2020
Activate or Not: Learning Customized Activation
Activate or Not: Learning Customized Activation
Ningning Ma
Xinming Zhang
Ming Liu
Jian Sun
22
114
0
10 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
Jaeseong Lee
Duseok Kang
S. Ha
35
10
0
04 Sep 2020
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu
Xiaoxing Wang
Bo-Wen Zhang
Shun Lu
Xiaolin K. Wei
Junchi Yan
9
161
0
02 Sep 2020
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das
Joseph McGrath
Zhaoyuan Fang
Aidan Boyd
Ganghee Jang
...
Fadi Boutros
Arjan Kuijper
Renu Sharma
Cunjian Chen
Arun Ross
VLM
15
40
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
9
3
0
01 Sep 2020
Moderately Supervised Learning: Definition, Framework and Generality
Moderately Supervised Learning: Definition, Framework and Generality
Yongquan Yang
OffRL
21
3
0
27 Aug 2020
OpenBot: Turning Smartphones into Robots
OpenBot: Turning Smartphones into Robots
Matthias Muller
V. Koltun
11
20
0
24 Aug 2020
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for
  Gesture Recognition
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
Zitong Yu
Benjia Zhou
Jun Wan
Pichao Wang
Haoyu Chen
Xin Liu
Stan Z. Li
Guoying Zhao
3DPC
27
88
0
21 Aug 2020
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an
  Embedded Platform
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
26
78
0
20 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
14
3
0
19 Aug 2020
Discovering Multi-Hardware Mobile Models via Architecture Search
Discovering Multi-Hardware Mobile Models via Architecture Search
Grace Chu
Okan Arikan
Gabriel Bender
Weijun Wang
Achille Brighton
Pieter-Jan Kindermans
Hanxiao Liu
Berkin Akin
Suyog Gupta
Andrew G. Howard
MQ
23
16
0
18 Aug 2020
Cascaded channel pruning using hierarchical self-distillation
Cascaded channel pruning using hierarchical self-distillation
Roy Miles
K. Mikolajczyk
24
7
0
16 Aug 2020
Can weight sharing outperform random architecture search? An
  investigation with TuNAS
Can weight sharing outperform random architecture search? An investigation with TuNAS
Gabriel Bender
Hanxiao Liu
Bo Chen
Grace Chu
Shuyang Cheng
Pieter-Jan Kindermans
Quoc V. Le
OOD
10
121
0
13 Aug 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan V. Oseledets
A. Cichocki
BDL
24
128
0
12 Aug 2020
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained
  Differentiable Neural Architecture Search
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search
Yibo Hu
Xiang Wu
Ran He
10
45
0
12 Aug 2020
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
Eunhyeok Park
S. Yoo
MQ
8
84
0
11 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural
  Networks
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu
Zaid Al-Ars
P. Hofstee
MQ
24
23
0
08 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
41
108
0
04 Aug 2020
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
Xiyang Luo
Hossein Talebi
Feng Yang
Michael Elad
P. Milanfar
23
38
0
03 Aug 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Xiaoyu Zhang
Ajmal Mian
Rohit Gupta
Nazanin Rahnavard
M. Shah
AAML
30
26
0
28 Jul 2020
Split Computing for Complex Object Detectors: Challenges and Preliminary
  Results
Split Computing for Complex Object Detectors: Challenges and Preliminary Results
Yoshitomo Matsubara
Marco Levorato
43
24
0
27 Jul 2020
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast
  Biopsy Images
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
Sachin Mehta
Ximing Lu
D. Weaver
J. Elmore
Hannaneh Hajishirzi
Linda G. Shapiro
23
5
0
25 Jul 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
Xinming Zhang
Jiawei Huang
Jian Sun
16
106
0
23 Jul 2020
TinyTL: Reduce Activations, Not Trainable Parameters for Efficient
  On-Device Learning
TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning
Han Cai
Chuang Gan
Ligeng Zhu
Song Han
21
51
0
22 Jul 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural
  Architecture Search
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Naresh Boddeti
26
144
0
20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Yujun Lin
J. Cohn
Chuang Gan
Song Han
59
475
0
20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs
H. Habi
Roy H. Jennings
Arnon Netzer
MQ
29
65
0
20 Jul 2020
Survey on Deep Learning-based Kuzushiji Recognition
Survey on Deep Learning-based Kuzushiji Recognition
K. Ueki
Tomoka Kojima
9
4
0
19 Jul 2020
Resolution Switchable Networks for Runtime Efficient Image Recognition
Resolution Switchable Networks for Runtime Efficient Image Recognition
Yikai Wang
F. Sun
Duo Li
Anbang Yao
36
25
0
19 Jul 2020
Learning to Learn Parameterized Classification Networks for Scalable
  Input Images
Learning to Learn Parameterized Classification Networks for Scalable Input Images
Duo Li
Anbang Yao
Qifeng Chen
22
11
0
13 Jul 2020
Accuracy Prediction with Non-neural Model for Neural Architecture Search
Accuracy Prediction with Non-neural Model for Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Enhong Chen
Tie-Yan Liu
8
14
0
09 Jul 2020
GOLD-NAS: Gradual, One-Level, Differentiable
GOLD-NAS: Gradual, One-Level, Differentiable
Kaifeng Bi
Lingxi Xie
Xin Chen
Longhui Wei
Qi Tian
OOD
AI4CE
22
42
0
07 Jul 2020
Discretization-Aware Architecture Search
Discretization-Aware Architecture Search
Yunjie Tian
Chang-rui Liu
Lingxi Xie
Jianbin Jiao
QiXiang Ye
12
31
0
07 Jul 2020
Exploration of Optimized Semantic Segmentation Architectures for
  edge-Deployment on Drones
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones
V. Parmar
Narayani Bhatia
Shubham Negi
Manan Suri
SSeg
17
9
0
06 Jul 2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Zhou Daquan
Qibin Hou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
26
197
0
05 Jul 2020
Low-Power Object Counting with Hierarchical Neural Networks
Low-Power Object Counting with Hierarchical Neural Networks
Abhinav Goel
Caleb Tung
Sarah Aghajanzadeh
Isha Ghodgaonkar
Shreya Ghosh
George K. Thiruvathukal
Yung-Hsiang Lu
8
9
0
02 Jul 2020
Rethinking Channel Dimensions for Efficient Model Design
Rethinking Channel Dimensions for Efficient Model Design
Dongyoon Han
Sangdoo Yun
Byeongho Heo
Y. Yoo
3DV
19
83
0
02 Jul 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou
Mao Ye
Chen Chen
Tianjian Meng
Mingxing Tan
Xiaodan Song
Quoc V. Le
Qiang Liu
Dale Schuurmans
6
19
0
01 Jul 2020
Testing match-3 video games with Deep Reinforcement Learning
Testing match-3 video games with Deep Reinforcement Learning
Nicholas Napolitano
8
3
0
30 Jun 2020
Asymmetric metric learning for knowledge transfer
Asymmetric metric learning for knowledge transfer
Mateusz Budnik
Yannis Avrithis
19
35
0
29 Jun 2020
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network
  Architectures
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
Yawei Li
Wen Li
Martin Danelljan
Peng Sun
Shuhang Gu
Luc Van Gool
Radu Timofte
32
18
0
29 Jun 2020
MiniNet: An extremely lightweight convolutional neural network for
  real-time unsupervised monocular depth estimation
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu
Qing Li
Rui Cao
Wenming Tang
Guoping Qiu
MDE
27
35
0
27 Jun 2020
Making DensePose fast and light
Making DensePose fast and light
Ruslan Rakhimov
Emil Bogomolov
A. Notchenko
Fung Mao
Alexey Artemov
Denis Zorin
Evgeny Burnaev
CVBM
3DH
14
5
0
26 Jun 2020
Neural Architecture Design for GPU-Efficient Networks
Neural Architecture Design for GPU-Efficient Networks
Ming Lin
Hesen Chen
Xiuyu Sun
Qi Qian
Hao Li
R. L. Jin
GNN
34
20
0
24 Jun 2020
Time for a Background Check! Uncovering the impact of Background
  Features on Deep Neural Networks
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
Vikash Sehwag
Rajvardhan Oak
M. Chiang
Prateek Mittal
FAtt
20
7
0
24 Jun 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep
  Neural Networks
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
Eugene Lee
Chen-Yi Lee
6
14
0
23 Jun 2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Jinming Cao
Yangyan Li
Mingchao Sun
Ying Chen
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
Changhe Tu
OOD
33
165
0
22 Jun 2020
Sparse GPU Kernels for Deep Learning
Sparse GPU Kernels for Deep Learning
Trevor Gale
Matei A. Zaharia
C. Young
Erich Elsen
17
227
0
18 Jun 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
25
48
0
18 Jun 2020
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