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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
NoFADE: Analyzing Diminishing Returns on CO2 Investment
NoFADE: Analyzing Diminishing Returns on CO2 Investment
André Fu
Justin Tran
Andy Xie
Jonathan Spraggett
Elisa Ding
Chang Won Lee
Kanav Singla
Mahdi S. Hosseini
Konstantinos N. Plataniotis
127
0
0
28 Nov 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
100
27
0
27 Nov 2021
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
VLM
61
20
0
25 Nov 2021
Self-slimmed Vision Transformer
Self-slimmed Vision Transformer
Zhuofan Zong
Kunchang Li
Guanglu Song
Yali Wang
Yu Qiao
B. Leng
Yu Liu
ViT
122
32
0
24 Nov 2021
Combined Scaling for Zero-shot Transfer Learning
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
148
202
0
19 Nov 2021
Rethinking Dilated Convolution for Real-time Semantic Segmentation
Rethinking Dilated Convolution for Real-time Semantic Segmentation
Roland Gao
SSeg
78
45
0
18 Nov 2021
INTERN: A New Learning Paradigm Towards General Vision
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao
Siyu Chen
Yangguang Li
Kun Wang
Zhen-fei Yin
...
F. Yu
Junjie Yan
Dahua Lin
Xiaogang Wang
Yu Qiao
110
34
0
16 Nov 2021
Improved Robustness of Vision Transformer via PreLayerNorm in Patch
  Embedding
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
ViT
57
10
0
16 Nov 2021
The self-supervised spectral-spatial attention-based transformer network
  for automated, accurate prediction of crop nitrogen status from UAV imagery
The self-supervised spectral-spatial attention-based transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
Xin Zhang
Liangxiu Han
Tam Sobeih
Lewis Lappin
Mark A. Lee
Andew Howard
A. Kisdi
ViT
34
1
0
12 Nov 2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On
  Analog Compute-in-Memory Accelerator
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou
F. García-Redondo
Julian Büchel
I. Boybat
Xavier Timoneda Comas
S. Nandakumar
Shidhartha Das
Abu Sebastian
Manuel Le Gallo
P. Whatmough
78
16
0
10 Nov 2021
Phantom: A High-Performance Computational Core for Sparse Convolutional
  Neural Networks
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
Mahmood Azhar Qureshi
Arslan Munir
86
0
0
09 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
219
100
0
07 Nov 2021
RMNet: Equivalently Removing Residual Connection from Networks
RMNet: Equivalently Removing Residual Connection from Networks
Fanxu Meng
Hao Cheng
Jia-Xin Zhuang
Ke Li
Xing Sun
55
11
0
01 Nov 2021
LAE : Long-tailed Age Estimation
LAE : Long-tailed Age Estimation
Zenghao Bao
Marc Rigter
Paul Duckworth
Jun Wan
Xibo Ma
Zhen Lei
G. Guo
CVBM
53
5
0
25 Oct 2021
Investigating Transfer Learning Capabilities of Vision Transformers and
  CNNs by Fine-Tuning a Single Trainable Block
Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block
Durvesh Malpure
Onkar Litake
Rajesh S. Ingle
ViT
46
5
0
11 Oct 2021
Google Landmark Retrieval 2021 Competition Third Place Solution
Google Landmark Retrieval 2021 Competition Third Place Solution
Qishen Ha
Bo Liu
Hongwei Zhang
3DV3DPC
55
2
0
09 Oct 2021
UniNet: Unified Architecture Search with Convolution, Transformer, and
  MLP
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu
Hongsheng Li
Guanglu Song
Xin Huang
Yu Liu
ViT
104
36
0
08 Oct 2021
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio
  Recognition
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition
Boris Bergsma
Minhao Yang
Milos Cernak
60
4
0
07 Oct 2021
3rd Place Solution to Google Landmark Recognition Competition 2021
3rd Place Solution to Google Landmark Recognition Competition 2021
Chengfeng Xu
Weimin Wang
Shuai Liu
Yong Wang
Yuxiang Tang
Tianling Bian
Yanyu Yan
Qi She
Cheng Yang
3DPC3DV
80
6
0
06 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
308
500
0
01 Oct 2021
PhiNets: a scalable backbone for low-power AI at the edge
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan
Alberto Ancilotto
Elisabetta Farella
88
34
0
01 Oct 2021
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model
  Ensemble
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble
Hiroshi Seki
Takashi Nakano
Koshiro Ikeda
S. Hirooka
Takaaki Kawasaki
Mitsutomo Yamada
Shumpei Saito
T. Yamakawa
Shimpei Ogawa
32
3
0
24 Sep 2021
DEM Super-Resolution with EfficientNetV2
DEM Super-Resolution with EfficientNetV2
B. Demiray
M. Sit
Ibrahim Demir
98
20
0
20 Sep 2021
A Medical Pre-Diagnosis System for Histopathological Image of Breast
  Cancer
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer
Shiyu Fan
Runhai Xu
Zhaohang Yan
37
4
0
16 Sep 2021
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Mark Buckler
Neil Adit
Yuwei Hu
Zhiru Zhang
Adrian Sampson
3DPC
53
2
0
16 Sep 2021
Compute and Energy Consumption Trends in Deep Learning Inference
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov
Fernando Martínez-Plumed
José Hernández-Orallo
77
119
0
12 Sep 2021
Architecture Aware Latency Constrained Sparse Neural Networks
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao
Qinghao Hu
Xiangyu He
Weixiang Xu
Jiaxing Wang
Cong Leng
Jian Cheng
74
0
0
01 Sep 2021
Exploring and Improving Mobile Level Vision Transformers
Exploring and Improving Mobile Level Vision Transformers
Pengguang Chen
Yixin Chen
Shu Liu
Ming-Hsuan Yang
Jiaya Jia
ViT
109
4
0
30 Aug 2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer,
  and MLP
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Yucheng Zhao
Guangting Wang
Chuanxin Tang
Chong Luo
Wenjun Zeng
Zhengjun Zha
83
69
0
30 Aug 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network
  Compression
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
Minsik Cho
Keivan Alizadeh Vahid
Saurabh N. Adya
Mohammad Rastegari
105
34
0
28 Aug 2021
RaftMLP: How Much Can Be Done Without Attention and with Less Spatial
  Locality?
RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
Yuki Tatsunami
Masato Taki
93
12
0
09 Aug 2021
Greedy Network Enlarging
Greedy Network Enlarging
Chuanjian Liu
Kai Han
An Xiao
Yiping Deng
Wei Zhang
Chunjing Xu
Yunhe Wang
49
3
0
31 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot
  Learning
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
Reece Walsh
Mohamed H. Abdelpakey
M. Shehata
Mostafa M. Mohamed
3DH
128
21
0
27 Jul 2021
Self-Correcting Neural Networks For Safe Classification
Self-Correcting Neural Networks For Safe Classification
Klas Leino
Aymeric Fromherz
Ravi Mangal
Matt Fredrikson
Bryan Parno
C. Păsăreanu
72
6
0
23 Jul 2021
AS-MLP: An Axial Shifted MLP Architecture for Vision
AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian
Zehao Yu
Xing Sun
Shenghua Gao
133
192
0
18 Jul 2021
Recognizing bird species in diverse soundscapes under weak supervision
Recognizing bird species in diverse soundscapes under weak supervision
Christof Henkel
Pascal Pfeiffer
Philipp Singer
51
14
0
16 Jul 2021
LANA: Latency Aware Network Acceleration
LANA: Latency Aware Network Acceleration
Pavlo Molchanov
Jimmy Hall
Hongxu Yin
Jan Kautz
Nicolò Fusi
Arash Vahdat
139
10
0
12 Jul 2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language
  Understanding and Generation
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Yu Sun
Shuohuan Wang
Shikun Feng
Siyu Ding
Chao Pang
...
Ouyang Xuan
Dianhai Yu
Hao Tian
Hua Wu
Haifeng Wang
125
475
0
05 Jul 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
114
778
0
28 Jun 2021
ViTAS: Vision Transformer Architecture Search
ViTAS: Vision Transformer Architecture Search
Xiu Su
Shan You
Jiyang Xie
Mingkai Zheng
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
ViT
104
55
0
25 Jun 2021
VOLO: Vision Outlooker for Visual Recognition
VOLO: Vision Outlooker for Visual Recognition
Li-xin Yuan
Qibin Hou
Zihang Jiang
Jiashi Feng
Shuicheng Yan
ViT
141
328
0
24 Jun 2021
Should You Go Deeper? Optimizing Convolutional Neural Network
  Architectures without Training by Receptive Field Analysis
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
Mats L. Richter
Julius Schöning
Anna Wiedenroth
U. Krumnack
41
16
0
23 Jun 2021
Solution for Large-scale Long-tailed Recognition with Noisy Labels
Solution for Large-scale Long-tailed Recognition with Noisy Labels
Yuqiao Xian
Jiafan Zhuang
Fufu Yu
29
1
0
20 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
80
25
0
19 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner
Alexander Kolesnikov
Xiaohua Zhai
Ross Wightman
Jakob Uszkoreit
Lucas Beyer
ViT
176
639
0
18 Jun 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in
  Deep Neural Networks
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
Suyoung Lee
Wonho Song
Suman Jana
M. Cha
Sooel Son
AAML
93
15
0
18 Jun 2021
Feature and Parameter Selection in Stochastic Linear Bandits
Feature and Parameter Selection in Stochastic Linear Bandits
Ahmadreza Moradipari
Berkay Turan
Yasin Abbasi-Yadkori
M. Alizadeh
Mohammad Ghavamzadeh
166
5
0
09 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
ViT
157
1,223
0
09 Jun 2021
Scaling Vision Transformers
Scaling Vision Transformers
Xiaohua Zhai
Alexander Kolesnikov
N. Houlsby
Lucas Beyer
ViT
181
1,099
0
08 Jun 2021
On the Connection between Local Attention and Dynamic Depth-wise
  Convolution
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han
Zejia Fan
Qi Dai
Lei-huan Sun
Ming-Ming Cheng
Jiaying Liu
Jingdong Wang
ViT
136
112
0
08 Jun 2021
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