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EfficientNetV2: Smaller Models and Faster Training
v1v2v3 (latest)

EfficientNetV2: Smaller Models and Faster Training

1 April 2021
Mingxing Tan
Quoc V. Le
    EgoV
ArXiv (abs)PDFHTMLGithub (6372★)

Papers citing "EfficientNetV2: Smaller Models and Faster Training"

50 / 767 papers shown
Title
Audio-Visual Scene Classification Using A Transfer Learning Based Joint
  Optimization Strategy
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy
Chengxin Chen
Meng Wang
Pengyuan Zhang
16
1
0
25 Apr 2022
Investigating Neural Architectures by Synthetic Dataset Design
Investigating Neural Architectures by Synthetic Dataset Design
Adrien Courtois
Jean-Michel Morel
Pablo Arias
76
4
0
23 Apr 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Hervé Jégou
ViT
134
418
0
14 Apr 2022
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Wenqiang Zhang
Zilong Huang
Guozhong Luo
Tao Chen
Xinggang Wang
Wenyu Liu
Gang Yu
Chunhua Shen
ViT
125
209
0
12 Apr 2022
CholecTriplet2021: A benchmark challenge for surgical action triplet
  recognition
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
C. Nwoye
Deepak Alapatt
Tong Yu
Armine Vardazaryan
Fangfang Xia
...
Didier Mutter
Pietro Mascagni
B. Seeliger
Cristians Gonzalez
N. Padoy
62
53
0
10 Apr 2022
On Improving Cross-dataset Generalization of Deepfake Detectors
On Improving Cross-dataset Generalization of Deepfake Detectors
Aakash Varma Nadimpalli
A. Rattani
CVBM
63
44
0
08 Apr 2022
The Effects of Regularization and Data Augmentation are Class Dependent
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero
Léon Bottou
Yann LeCun
110
97
0
07 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top
  Results
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
T. Ridnik
Hussam Lawen
Emanuel Ben-Baruch
Asaf Noy
114
11
0
07 Apr 2022
MaxViT: Multi-Axis Vision Transformer
MaxViT: Multi-Axis Vision Transformer
Zhengzhong Tu
Hossein Talebi
Han Zhang
Feng Yang
P. Milanfar
A. Bovik
Yinxiao Li
ViT
181
676
0
04 Apr 2022
EResFD: Rediscovery of the Effectiveness of Standard Convolution for
  Lightweight Face Detection
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
Joonhyun Jeong
Beomyoung Kim
Joonsang Yu
Y. Yoo
CVBM
73
6
0
04 Apr 2022
Unitail: Detecting, Reading, and Matching in Retail Scene
Unitail: Detecting, Reading, and Matching in Retail Scene
Fangyi Chen
Han Zhang
Zaiwang Li
Jiachen Dou
Shentong Mo
Hao Chen
Yongxin Zhang
Uzair Ahmed
Chenchen Zhu
Marios Savvides
109
9
0
01 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
107
31
0
29 Mar 2022
Automated Progressive Learning for Efficient Training of Vision
  Transformers
Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li
Bohan Zhuang
Guangrun Wang
Xiaodan Liang
Xiaojun Chang
Yi Yang
108
46
0
28 Mar 2022
Enhancing Transformer Efficiency for Multivariate Time Series
  Classification
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang
Yun Zhao
Linda R. Petzold
AI4TS
55
2
0
28 Mar 2022
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
Tianjian Meng
Golnaz Ghiasi
Reza Mahjorian
Quoc V. Le
Mingxing Tan
SSeg
87
2
0
23 Mar 2022
TVConv: Efficient Translation Variant Convolution for Layout-aware
  Visual Processing
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
Jie Chen
Tianlang He
Weipeng Zhuo
Li Ma
Sangtae Ha
Shueng-Han Gary Chan
CVBM
103
25
0
20 Mar 2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural
  Networks
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks
Hanqing Sun
Hyun Ahn
Hyungyu Lee
Injung Kim
63
0
0
20 Mar 2022
Inferring topological transitions in pattern-forming processes with
  self-supervised learning
Inferring topological transitions in pattern-forming processes with self-supervised learning
M. Abram
Keith Burghardt
Greg Ver Steeg
Aram Galstyan
Rémi Dingreville
AI4CE
37
9
0
19 Mar 2022
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and
  Pixel-Level Imbalance Learning
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning
Dawei Dai
Chunjie Wang
Shuyin Xia
Yingge Liu
Guo-Zhen Wang
62
10
0
17 Mar 2022
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Qishuai Diao
Yi Jiang
Bin Wen
Jianxiang Sun
Zehuan Yuan
77
63
0
05 Mar 2022
ROCT-Net: A new ensemble deep convolutional model with improved spatial
  resolution learning for detecting common diseases from retinal OCT images
ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images
Mohammad Rahimzadeh
M. Mohammadi
42
10
0
03 Mar 2022
Comprehensive Analysis of the Object Detection Pipeline on UAVs
Comprehensive Analysis of the Object Detection Pipeline on UAVs
Leon Amadeus Varga
Sebastian Koch
A. Zell
47
5
0
01 Mar 2022
TRILLsson: Distilled Universal Paralinguistic Speech Representations
TRILLsson: Distilled Universal Paralinguistic Speech Representations
Joel Shor
Subhashini Venugopalan
88
41
0
01 Mar 2022
Increasing Depth of Neural Networks for Life-long Learning
Increasing Depth of Neural Networks for Life-long Learning
Jkedrzej Kozal
Michal Wo'zniak
CLL
64
8
0
22 Feb 2022
Visual Attention Network
Visual Attention Network
Meng-Hao Guo
Chengrou Lu
Zheng-Ning Liu
Ming-Ming Cheng
Shiyong Hu
ViTVLM
149
680
0
20 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease
  Classification on Chest X-ray Images
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu
R. Rohling
Septimiu Salcudean
68
5
0
15 Feb 2022
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for
  Network Attention in Chest X-rays Classification
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
Hongzhi Zhu
Septimiu Salcudean
R. Rohling
MedIm
55
4
0
15 Feb 2022
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn
  Reflecting on Inappropriate Content?
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?
P. Schramowski
Christopher Tauchmann
Kristian Kersting
FaML
105
100
0
14 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
110
4
0
07 Feb 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
148
10
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
80
8
0
06 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
67
38
0
01 Feb 2022
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Training Thinner and Deeper Neural Networks: Jumpstart Regularization
Carles Roger Riera Molina
Camilo Rey
Thiago Serra
Eloi Puertas
O. Pujol
86
4
0
30 Jan 2022
A Simple Guard for Learned Optimizers
A Simple Guard for Learned Optimizers
Isabeau Prémont-Schwarz
Jaroslav Vítkru
Jan Feyereisl
138
8
0
28 Jan 2022
UniFormer: Unifying Convolution and Self-attention for Visual
  Recognition
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
Kunchang Li
Yali Wang
Junhao Zhang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
ViT
250
384
0
24 Jan 2022
Learning to Minimize the Remainder in Supervised Learning
Learning to Minimize the Remainder in Supervised Learning
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
97
1
0
23 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
85
229
0
20 Jan 2022
UniFormer: Unified Transformer for Efficient Spatiotemporal
  Representation Learning
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning
Kunchang Li
Yali Wang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
ViT
145
254
0
12 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
204
5,281
0
10 Jan 2022
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce
  Connections
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
Ruikang Ju
Ting-Yu Lin
Jia-Hao Jian
Jen-Shiun Chiang
Weida Yang
53
9
0
09 Jan 2022
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
Dillon Lohr
Oleg V. Komogortsev
77
4
0
05 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
128
27
0
16 Dec 2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and
  Treating CNN Classifiers
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Zunlei Feng
Jiacong Hu
Sai Wu
Xiaotian Yu
Mingli Song
Xiuming Zhang
84
14
0
09 Dec 2021
Contrastive Learning with Large Memory Bank and Negative Embedding
  Subtraction for Accurate Copy Detection
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
Shuhei Yokoo
SSL
82
24
0
08 Dec 2021
Producing augmentation-invariant embeddings from real-life imagery
Producing augmentation-invariant embeddings from real-life imagery
S. M. Papadakis
Sanjay V. Addicam
57
7
0
06 Dec 2021
A Fast Knowledge Distillation Framework for Visual Recognition
A Fast Knowledge Distillation Framework for Visual Recognition
Zhiqiang Shen
Eric P. Xing
VLM
112
50
0
02 Dec 2021
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion
  Prediction
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction
Ching-Yu Tseng
Po-Shao Lin
Yu-Jia Liou
Kuan-Chih Huang
Winston H. Hsu
3DPCOOD
46
1
0
02 Dec 2021
Vision Pair Learning: An Efficient Training Framework for Image
  Classification
Vision Pair Learning: An Efficient Training Framework for Image Classification
Bei Tong
Xiaoyuan Yu
ViT
59
0
0
02 Dec 2021
Temporally Resolution Decrement: Utilizing the Shape Consistency for
  Higher Computational Efficiency
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
Tianshu Xie
Xuan Cheng
Minghui Liu
Jiali Deng
Xiaomin Wang
Meilin Liu
SupR
49
1
0
02 Dec 2021
OCR-free Document Understanding Transformer
OCR-free Document Understanding Transformer
Geewook Kim
Teakgyu Hong
Moonbin Yim
Jeongyeon Nam
Jinyoung Park
Jinyeong Yim
Wonseok Hwang
Sangdoo Yun
Dongyoon Han
Seunghyun Park
ViT
163
274
0
30 Nov 2021
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