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Facial Emotion Recognition: State of the Art Performance on FER2013

Facial Emotion Recognition: State of the Art Performance on FER2013

8 May 2021
Yousif Khaireddin
Z. Chen
    3DH
ArXivPDFHTML

Papers citing "Facial Emotion Recognition: State of the Art Performance on FER2013"

17 / 17 papers shown
Title
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Yassine El Boudouri
Amine Bohi
126
17
0
14 Jan 2025
Learning to Amend Facial Expression Representation via De-albino and
  Affinity
Learning to Amend Facial Expression Representation via De-albino and Affinity
Jiawei Shi
Song-Chun Zhu
Zhiwei Liang
CVBM
55
75
0
18 Mar 2021
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
81
169
0
19 Dec 2019
An Exponential Learning Rate Schedule for Deep Learning
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li
Sanjeev Arora
48
216
0
16 Oct 2019
Deep-Emotion: Facial Expression Recognition Using Attentional
  Convolutional Network
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Shervin Minaee
AmirAli Abdolrashidi
CVBM
109
564
0
04 Feb 2019
A Sufficient Condition for Convergences of Adam and RMSProp
A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou
Li Shen
Zequn Jie
Weizhong Zhang
Wei Liu
54
371
0
23 Nov 2018
A Closer Look at Deep Learning Heuristics: Learning rate restarts,
  Warmup and Distillation
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Deepak Gotmare
N. Keskar
Caiming Xiong
R. Socher
ODL
61
276
0
29 Oct 2018
Local Learning with Deep and Handcrafted Features for Facial Expression
  Recognition
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Marius Popescu
CVBM
52
251
0
29 Apr 2018
Facial Expression Recognition using Convolutional Neural Networks: State
  of the Art
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
C. Pramerdorfer
M. Kampel
CVBM
120
248
0
09 Dec 2016
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Going Deeper in Facial Expression Recognition using Deep Neural Networks
A. Mollahosseini
David M. Chan
Mohammad H. Mahoor
49
854
0
12 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
439
43,277
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
301
7,289
0
20 Dec 2013
Challenges in Representation Learning: A report on three machine
  learning contests
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow
D. Erhan
P. Carrier
Aaron Courville
M. Berk Mirza
...
Jingjing Xie
Lukasz Romaszko
Bing Xu
Chuang Zhang
Yoshua Bengio
CVBM
126
1,613
0
01 Jul 2013
Deep Learning using Linear Support Vector Machines
Deep Learning using Linear Support Vector Machines
Yichuan Tang
95
894
0
02 Jun 2013
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
169
347
0
07 Feb 2013
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