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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 / 1,816 papers shown
Title
Dermatological Diagnosis Explainability Benchmark for Convolutional
  Neural Networks
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
Raluca Jalaboi
Ole Winther
A. Galimzianova
FAtt
22
1
0
23 Feb 2023
Teaching CLIP to Count to Ten
Teaching CLIP to Count to Ten
Roni Paiss
Ariel Ephrat
Omer Tov
Shiran Zada
Inbar Mosseri
Michal Irani
Tali Dekel
VLM
CLIP
39
93
0
23 Feb 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai
Dalin Zhang
Huan Li
Christian S. Jensen
Hua Lu
Yan Zhao
AI4TS
35
29
0
23 Feb 2023
A framework for benchmarking class-out-of-distribution detection and its
  application to ImageNet
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
32
28
0
23 Feb 2023
What Can We Learn From The Selective Prediction And Uncertainty
  Estimation Performance Of 523 Imagenet Classifiers
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
38
25
0
23 Feb 2023
Efficient Context Integration through Factorized Pyramidal Learning for
  Ultra-Lightweight Semantic Segmentation
Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation
Nadeem Atif
Saquib Mazhar
Debajit Sarma
M. Bhuyan
S. R. Ahamad
SSeg
38
0
0
23 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
VRA: Variational Rectified Activation for Out-of-distribution Detection
Ming Xu
Zheng Lian
B. Liu
Jianhua Tao
OODD
27
7
0
23 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search
A General-Purpose Transferable Predictor for Neural Architecture Search
Fred X. Han
Keith G. Mills
Fabián A. Chudak
Parsa Riahi
Mohammad Salameh
Jialin Zhang
Wei Lu
Shangling Jui
Di Niu
AI4CE
OOD
20
2
0
21 Feb 2023
Device Tuning for Multi-Task Large Model
Device Tuning for Multi-Task Large Model
Penghao Jiang
Xuanchen Hou
Y. Zhou
26
0
0
21 Feb 2023
Structured Bayesian Compression for Deep Neural Networks Based on The
  Turbo-VBI Approach
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach
Cheng-Gang Xia
Danny H. K. Tsang
Vincent K. N. Lau
BDL
16
6
0
21 Feb 2023
CovidExpert: A Triplet Siamese Neural Network framework for the
  detection of COVID-19
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19
Tareque Rahman Ornob
G. Roy
Enamul Hassan
37
12
0
17 Feb 2023
Deep Learning for Event-based Vision: A Comprehensive Survey and
  Benchmarks
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
Xueye Zheng
Yexin Liu
Yunfan Lu
Tongyan Hua
Tianbo Pan
Weiming Zhang
Dacheng Tao
Lin Wang
AI4TS
BDL
3DV
52
84
0
17 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
36
14
0
17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
34
13
0
16 Feb 2023
A lightweight network for photovoltaic cell defect detection in
  electroluminescence images based on neural architecture search and knowledge
  distillation
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation
Jinxia Zhang
Xinyi Chen
Haikun Wei
Kanjian Zhang
21
37
0
15 Feb 2023
Universal Guidance for Diffusion Models
Universal Guidance for Diffusion Models
Arpit Bansal
Hong-Min Chu
Avi Schwarzschild
Soumyadip Sengupta
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLM
54
246
0
14 Feb 2023
A Practical Mixed Precision Algorithm for Post-Training Quantization
A Practical Mixed Precision Algorithm for Post-Training Quantization
N. Pandey
Markus Nagel
M. V. Baalen
Yin-Ruey Huang
Chirag I. Patel
Tijmen Blankevoort
MQ
27
20
0
10 Feb 2023
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot
  Classification via Stable Diffusion
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Jordan Shipard
Arnold Wiliem
Kien Nguyen Thanh
Wei Xiang
Clinton Fookes
DiffM
22
75
0
07 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
29
8
0
05 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
23
3
0
03 Feb 2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
Junbo Zhao
Xuefei Ning
En-hao Liu
Binxin Ru
Zixuan Zhou
Tianchen Zhao
Chen Chen
Jiajin Zhang
Q. Liao
Yu Wang
AI4CE
37
2
0
02 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
27
22
0
02 Feb 2023
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of
  Snow Accumulation Using Airborne Radar
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar
Benjamin Zalatan
Maryam Rahnemoonfar
18
5
0
02 Feb 2023
NASiam: Efficient Representation Learning using Neural Architecture
  Search for Siamese Networks
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks
Alexandre Heuillet
Hedi Tabia
Hichem Arioui
32
3
0
31 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
VLM
DiffM
35
3
0
30 Jan 2023
Supervision Complexity and its Role in Knowledge Distillation
Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan
A. S. Rawat
A. Menon
Seungyeon Kim
Surinder Kumar
35
12
0
28 Jan 2023
Does Federated Learning Really Need Backpropagation?
Does Federated Learning Really Need Backpropagation?
H. Feng
Tianyu Pang
Chao Du
Wei Chen
Shuicheng Yan
Min Lin
FedML
36
10
0
28 Jan 2023
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks
  via Aggregated Early Exits
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits
Simone Sarti
Eugenio Lomurno
Matteo Matteucci
27
4
0
28 Jan 2023
The Power of Linear Combinations: Learning with Random Convolutions
The Power of Linear Combinations: Learning with Random Convolutions
Paul Gavrikov
J. Keuper
37
2
0
26 Jan 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Alan Jeffares
Tennison Liu
Jonathan Crabbé
M. Schaar
FedML
61
15
0
26 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
55
2
0
26 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
38
61
0
26 Jan 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
45
2
0
25 Jan 2023
Connecting metrics for shape-texture knowledge in computer vision
Connecting metrics for shape-texture knowledge in computer vision
Tiago Gaspar Oliveira
Tiago Marques
Arlindo L. Oliveira
19
0
0
25 Jan 2023
A Simple Recipe for Competitive Low-compute Self supervised Vision
  Models
A Simple Recipe for Competitive Low-compute Self supervised Vision Models
Quentin Duval
Ishan Misra
Nicolas Ballas
37
9
0
23 Jan 2023
Summarize the Past to Predict the Future: Natural Language Descriptions
  of Context Boost Multimodal Object Interaction Anticipation
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
Razvan-George Pasca
Alexey Gavryushin
Muhammad Hamza
Yen-Ling Kuo
Kaichun Mo
Luc Van Gool
Otmar Hilliges
Xi Wang
35
14
0
22 Jan 2023
Free Lunch for Generating Effective Outlier Supervision
Sen Pei
Jiaxi Sun
R. Xu
Bin Fan
Shiming Xiang
Gaofeng Meng
OODD
44
0
0
17 Jan 2023
Post-Train Adaptive U-Net for Image Segmentation
Post-Train Adaptive U-Net for Image Segmentation
K. Khabarlak
SSeg
18
1
0
16 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN
  Features for Explainable Image Classification
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
26
5
0
16 Jan 2023
Improving Reliability of Fine-tuning with Block-wise Optimisation
Improving Reliability of Fine-tuning with Block-wise Optimisation
Basel Barakat
Qiang Huang
30
1
0
15 Jan 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Yizhou Sun
41
12
0
14 Jan 2023
Learnable Heterogeneous Convolution: Learning both topology and strength
Learnable Heterogeneous Convolution: Learning both topology and strength
Rongzhen Zhao
Zhenzhi Wu
Qikun Zhang
35
6
0
13 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
39
34
0
11 Jan 2023
Sentiment-based Engagement Strategies for intuitive Human-Robot
  Interaction
Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction
Thorsten Hempel
Laslo Dinges
A. Al-Hamadi
18
3
0
10 Jan 2023
Deep-learning models in medical image analysis: Detection of esophagitis
  from the Kvasir Dataset
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset
Kyoka Yoshiok
Kensuke Tanioka
S. Hiwa
Tomoyuki Hiroyasu
9
4
0
06 Jan 2023
LostNet: A smart way for lost and find
LostNet: A smart way for lost and find
Meihua Zhou
Ivan Fung
Li Yang
Nan Wan
Keke Di
Tingting Wang
15
2
0
05 Jan 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Sucheng Ren
Fangyun Wei
Zheng-Wei Zhang
Han Hu
42
35
0
03 Jan 2023
Rethinking Mobile Block for Efficient Attention-based Models
Rethinking Mobile Block for Efficient Attention-based Models
Jiangning Zhang
Xiangtai Li
Jian Li
Liang Liu
Zhucun Xue
Boshen Zhang
Zhe Jiang
Tianxin Huang
Yabiao Wang
Chengjie Wang
MQ
49
91
0
03 Jan 2023
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Arash Ahmadian
Louis S.P. Liu
Yue Fei
Konstantinos N. Plataniotis
Mahdi S. Hosseini
26
0
0
31 Dec 2022
OVO: One-shot Vision Transformer Search with Online distillation
Zimian Wei
H. Pan
Xin-Yi Niu
Dongsheng Li
ViT
34
1
0
28 Dec 2022
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