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Mask Usage Recognition using Vision Transformer with Transfer Learning
  and Data Augmentation

Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation

22 March 2022
Hensel Donato Jahja
N. Yudistira
Sutrisno
    ViT
ArXiv (abs)PDFHTML

Papers citing "Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation"

23 / 23 papers shown
Title
Masked Face Recognition Challenge: The InsightFace Track Report
Masked Face Recognition Challenge: The InsightFace Track Report
Jiankang Deng
Jia Guo
Xiang An
Zheng Zhu
Stefanos Zafeiriou
CVBM
89
87
0
18 Aug 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
684
41,563
0
22 Oct 2020
How many images do I need? Understanding how sample size per class
  affects deep learning model performance metrics for balanced designs in
  autonomous wildlife monitoring
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
S. Shahinfar
P. Meek
G. Falzon
58
156
0
16 Oct 2020
Face Mask Detection using Transfer Learning of InceptionV3
Face Mask Detection using Transfer Learning of InceptionV3
G. Jignesh Chowdary
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
CVBM
62
188
0
17 Sep 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
170
1,128
0
14 Sep 2020
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images
  in the Context of COVID-19
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
A. Cabani
K. Hammoudi
H. Benhabiles
Mahmoud Melkemi
CVBM
61
186
0
18 Aug 2020
Masked Face Recognition Dataset and Application
Masked Face Recognition Dataset and Application
Zhongyuan Wang
Guangcheng Wang
Baojin Huang
Zhangyang Xiong
Q. Hong
...
Yingjiao Pei
Heling Chen
Yu Miao
Zhibing Huang
Ji Liang
CVBM
150
417
0
20 Mar 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
270
3,508
0
30 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
172
18,224
0
28 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
628
10,595
0
12 Dec 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
135
1,775
0
24 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
85
2,615
0
20 May 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
81
3,241
0
22 Mar 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
84
2,793
0
13 Dec 2017
VGGFace2: A dataset for recognising faces across pose and age
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao
Li Shen
Weidi Xie
Omkar M. Parkhi
Andrew Zisserman
CVBM
103
2,638
0
23 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,900
0
17 Apr 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
742
37,085
0
08 Jun 2015
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
97
2,012
0
28 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,637
0
01 Sep 2014
1