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Searching for MobileNetV3
v1v2v3v4v5 (latest)

Searching for MobileNetV3

IEEE International Conference on Computer Vision (ICCV), 2019
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
ArXiv (abs)PDFHTML

Papers citing "Searching for MobileNetV3"

50 / 1,991 papers shown
The Road to On-board Change Detection: A Lightweight Patch-Level Change
  Detection Network via Exploring the Potential of Pruning and Pooling
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
Lihui Xue
Zhihao Wang
Xueqian Wang
Gang Li
262
2
0
16 Oct 2023
EfficientOCR: An Extensible, Open-Source Package for Efficiently
  Digitizing World Knowledge
EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge
Tom Bryan
Jacob Carlson
Abhishek Arora
Melissa Dell
206
8
0
16 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CEOODFedML
335
8
0
16 Oct 2023
Neural network scoring for efficient computing
Neural network scoring for efficient computing
Hugo Waltsburger
Erwan Libessart
Chengfang Ren
A. Kolar
R. Guinvarc’h
164
0
0
14 Oct 2023
Jointly-Learned Exit and Inference for a Dynamic Neural Network :
  JEI-DNN
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
Florence Regol
Joud Chataoui
Mark Coates
283
16
0
13 Oct 2023
Strategies and impact of learning curve estimation for CNN-based image
  classification
Strategies and impact of learning curve estimation for CNN-based image classification
Laura Didyk
Brayden Yarish
Michael A. Beck
C. Bidinosti
Christopher J. Henry
191
0
0
12 Oct 2023
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness
  Evaluation
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
Qiang Li
Dan Zhang
Shengzhao Lei
Xun Zhao
Porawit Kamnoedboon
WeiWei Li
Junhao Dong
Shuyan Li
VLM
289
2
0
12 Oct 2023
Precise localization within the GI tract by combining classification of
  CNNs and time-series analysis of HMMs
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
Julia Werner
Christoph Gerum
Moritz Reiber
Jorg Nick
Oliver Bringmann
106
6
0
11 Oct 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints
  for Deep Learning Model Deployment on Tiny IoT Devices
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT DevicesIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023
Luca Bompani
Matteo Risso
Beatrice Alessandra Motetti
Enrico Macii
Luca Benini
Daniele Jahier Pagliari
219
17
0
11 Oct 2023
Watt For What: Rethinking Deep Learning's Energy-Performance
  Relationship
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
Shreyank N. Gowda
Xinyue Hao
Gen Li
Laura Sevilla-Lara
Shashank Narayana Gowda
HAI
195
17
0
10 Oct 2023
Adversarial Masked Image Inpainting for Robust Detection of Mpox and
  Non-Mpox
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox
Yubiao Yue
Zhenzhang Li
MedIm
147
0
0
10 Oct 2023
Unleashing the power of Neural Collapse for Transferability Estimation
Unleashing the power of Neural Collapse for Transferability Estimation
Yuhe Ding
Bo Jiang
Lijun Sheng
Aihua Zheng
Jian Liang
CVBM
226
1
0
09 Oct 2023
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking
  Face Generation
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation
Yaosen Chen
Yu Yao
Zhiqiang Li
Wei Wang
Yanru Zhang
Han Yang
Xuming Wen
335
11
0
09 Oct 2023
Lightweight Full-Convolutional Siamese Tracker
Lightweight Full-Convolutional Siamese TrackerKnowledge-Based Systems (KBS), 2023
Yunfeng Li
Bo Wang
Xueyi Wu
Zhuoyan Liu
Ye Li
296
17
0
09 Oct 2023
What do larger image classifiers memorise?
What do larger image classifiers memorise?
Michal Lukasik
Vaishnavh Nagarajan
A. S. Rawat
A. Menon
Sanjiv Kumar
268
5
0
09 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data
  Heterogeneity in Federated Learning
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu
Zeyu Wang
Jieru Mei
Liangqiong Qu
Yaoyao Liu
Cihang Xie
Yuyin Zhou
FedML
161
3
0
06 Oct 2023
Improving classifier decision boundaries using nearest neighbors
Improving classifier decision boundaries using nearest neighbors
Johannes Schneider
AAML
291
1
0
05 Oct 2023
Visual inspection for illicit items in X-ray images using Deep Learning
Visual inspection for illicit items in X-ray images using Deep LearningBigData Congress [Services Society] (BSS), 2023
Ioannis Mademlis
Georgios Batsis
Adamantia Anna Rebolledo Chrysochoou
Georgios Th. Papadopoulos
195
6
0
05 Oct 2023
Hybrid Inception Architecture with Residual Connection: Fine-tuned
  Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from
  Chest Radiographs
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs
Mehdi Neshat
Muktar Ahmed
Hossein Askari
M. Thilakaratne
Seyedali Mirjalili
168
37
0
04 Oct 2023
An evaluation of pre-trained models for feature extraction in image
  classification
An evaluation of pre-trained models for feature extraction in image classificationInternational Conference on Enterprise Information Systems (ICEIS), 2023
Erick da Silva Puls
M. V. Todescato
J. Carbonera
CLIPVLM
131
21
0
03 Oct 2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse
  Neural Networks
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
Cameron Shinn
Collin McCarthy
Saurav Muralidharan
Muhammad Osama
John Douglas Owens
212
2
0
30 Sep 2023
SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time
  Echocardiograms with Self- and Weakly-Supervised Learning
SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
F. Maani
Asim Ukaye
Nada Saadi
Numan Saeed
Mohammad Yaqub
930
2
0
30 Sep 2023
ResBit: Residual Bit Vector for Categorical Values
ResBit: Residual Bit Vector for Categorical Values
Masane Fuchi
Amar Zanashir
Si-Qing Chen
Tomohiro Takagi
277
1
0
29 Sep 2023
MEM: Multi-Modal Elevation Mapping for Robotics and Learning
MEM: Multi-Modal Elevation Mapping for Robotics and LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Diogo S. Carvalho
Jonas Frey
Takahiro Miki
Francisco S. Melo
Marco Hutter
210
29
0
28 Sep 2023
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of
  Parking Monitoring Systems
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring SystemsInternational Conference on Machine Learning and Applications (ICMLA), 2023
A. G. Hochuli
J. P. Barddal
Gillian Cezar Palhano
Leonardo Matheus Mendes
Paulo Ricardo Lisboa de Almeida
UQCV
149
6
0
28 Sep 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation
  Robustness via Hypernetworks
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks
Huihui Gong
Minjing Dong
Siqi Ma
S. Çamtepe
Surya Nepal
Chang Xu
AAMLOOD
204
1
0
28 Sep 2023
Convolutional Networks with Oriented 1D Kernels
Convolutional Networks with Oriented 1D KernelsIEEE International Conference on Computer Vision (ICCV), 2023
Alexandre Kirchmeyer
Jia Deng
245
7
0
27 Sep 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained
  Species Recognition
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species RecognitionNeural Information Processing Systems (NeurIPS), 2023
W. He
Kai Han
Ying Nie
Chengcheng Wang
Yunhe Wang
VLM
328
12
0
25 Sep 2023
Data Upcycling Knowledge Distillation for Image Super-Resolution
Data Upcycling Knowledge Distillation for Image Super-Resolution
Yun-feng Zhang
Wei Li
Simiao Li
Hanting Chen
Zhaopeng Tu
Wenjun Wang
Bingyi Jing
Hai-lin Wang
Jie Hu
353
7
0
25 Sep 2023
Revisiting LARS for Large Batch Training Generalization of Neural
  Networks
Revisiting LARS for Large Batch Training Generalization of Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
K. Do
Duong Nguyen
Hoa Nguyen
Long Tran-Thanh
Nguyen-Hoang Tran
Quoc-Viet Pham
AI4CEODL
357
6
0
25 Sep 2023
On Calibration of Modern Quantized Efficient Neural Networks
On Calibration of Modern Quantized Efficient Neural Networks
Joe-Hwa Kuang
Alexander Wong
UQCVMQ
373
1
0
25 Sep 2023
Adversarial Attacks on Video Object Segmentation with Hard Region
  Discovery
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
P. Li
Yu Zhang
L. Yuan
Jian Zhao
Xianghua Xu
Xiaoqing Zhang
AAMLVOS
218
21
0
25 Sep 2023
S3TC: Spiking Separated Spatial and Temporal Convolutions with
  Unsupervised STDP-based Learning for Action Recognition
S3TC: Spiking Separated Spatial and Temporal Convolutions with Unsupervised STDP-based Learning for Action RecognitionInternational Conference on Pattern Recognition (ICPR), 2023
Mireille el Assal
Pierre Tirilly
Ioan Marius Bilasco
238
2
0
22 Sep 2023
Grassroots Operator Search for Model Edge Adaptation
Grassroots Operator Search for Model Edge Adaptation
Hadjer Benmeziane
Kaoutar El Maghraoui
Hamza Ouarnoughi
Smail Niar
266
0
0
20 Sep 2023
CNN-based local features for navigation near an asteroid
CNN-based local features for navigation near an asteroidIEEE Access (IEEE Access), 2023
O. Knuuttila
A. Kestilä
E. Kallio
278
0
0
20 Sep 2023
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with
  CNN-Transformer Hybrid Framework
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
Yuelei Wang
Ting Zhang
Liangjin Zhao
Lin Hu
Zhechao Wang
...
Kaiqiang Chen
Xuan Zeng
Zhirui Wang
Hongqi Wang
Xian Sun
297
9
0
16 Sep 2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
UNIDEAL: Curriculum Knowledge Distillation Federated LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuwen Yang
Shaokai Wu
Xun Cai
Wei Ji
Hongtao Lu
Yue Ding
FedML
232
11
0
16 Sep 2023
A Real-Time Active Speaker Detection System Integrating an Audio-Visual
  Signal with a Spatial Querying Mechanism
A Real-Time Active Speaker Detection System Integrating an Audio-Visual Signal with a Spatial Querying MechanismIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
I. Gurvich
Ido Leichter
Dharmendar Reddy Palle
Yossi Asher
Alon Vinnikov
Igor Abramovski
Vishak Gopal
Ross Cutler
Eyal Krupka
205
4
0
15 Sep 2023
Padding Aware Neurons
Padding Aware Neurons
Dario Garcia-Gasulla
Victor Gimenez-Abalos
Pablo A. Martin-Torres
VLMFAttKELM
201
0
0
14 Sep 2023
Sleep Stage Classification Using a Pre-trained Deep Learning Model
Sleep Stage Classification Using a Pre-trained Deep Learning Model
Hassan Ardeshir
Mohammad Araghi
140
1
0
12 Sep 2023
Accelerating Deep Neural Networks via Semi-Structured Activation
  Sparsity
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity
Matteo Grimaldi
Darshan C. Ganji
Ivan Lazarevich
Sudhakar Sah
203
13
0
12 Sep 2023
Privacy Side Channels in Machine Learning Systems
Privacy Side Channels in Machine Learning SystemsUSENIX Security Symposium (USENIX Security), 2023
Edoardo Debenedetti
Giorgio Severi
Nicholas Carlini
Christopher A. Choquette-Choo
Matthew Jagielski
Milad Nasr
Eric Wallace
Florian Tramèr
MIALM
532
49
0
11 Sep 2023
Brain-inspired Evolutionary Architectures for Spiking Neural Networks
Brain-inspired Evolutionary Architectures for Spiking Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Wenxuan Pan
Feifei Zhao
Zhuoya Zhao
Yi Zeng
287
6
0
11 Sep 2023
Robotic Defect Inspection with Visual and Tactile Perception for
  Large-scale Components
Robotic Defect Inspection with Visual and Tactile Perception for Large-scale ComponentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Arpit Agarwal
Abhiroop Ajith
Chengtao Wen
Veniamin Stryzheus
Brian Miller
Matthew Chen
Micah K. Johnson
Jose Luis Susa Rincon
Justinian P. Rosca
Wenzhen Yuan
160
10
0
08 Sep 2023
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse
  Mixture-of-Experts
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Erik Daxberger
Floris Weers
Bowen Zhang
Tom Gunter
Ruoming Pang
Marcin Eichner
Michael Emmersberger
Yinfei Yang
Alexander Toshev
Xianzhi Du
MoE
111
16
0
08 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Elvis Nunez
Thomas Merth
Anish K. Prabhu
Mehrdad Farajtabar
Mohammad Rastegari
Sachin Mehta
Maxwell Horton
239
1
0
08 Sep 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the
  Test
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the TestEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Johannes Flotzinger
Philipp J. Rösch
Norbert Oswald
T. Braml
278
1
0
07 Sep 2023
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation
Feature Enhancer Segmentation Network (FES-Net) for Vessel SegmentationInternational Conference on Digital Image Computing: Techniques and Applications (DICTA), 2023
Tariq Mahmood Khan
Muhammad Arsalan
Shahzaib Iqbal
Imran Razzak
Erik H. W. Meijering
146
15
0
07 Sep 2023
Learning Vehicle Dynamics from Cropped Image Patches for Robot
  Navigation in Unpaved Outdoor Terrains
Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor TerrainsIEEE Robotics and Automation Letters (RA-L), 2023
Jeong Hyun Lee
Jinhyeok Choi
Simo Ryu
Hyunsik Oh
Suyoung Choi
Jemin Hwangbo
166
3
0
06 Sep 2023
Self-Supervised Pretraining Improves Performance and Inference
  Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation TasksIEEE Access (IEEE Access), 2023
Blake Vanberlo
Brian Li
Jesse Hoey
Alexander Wong
203
3
0
05 Sep 2023
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