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Unveiling the Human-like Similarities of Automatic Facial Expression
  Recognition: An Empirical Exploration through Explainable AI

Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI

22 January 2024
F. X. Gaya-Morey
S. Ramis-Guarinos
Cristina Manresa-Yee
Jose Maria Buades Rubio
    CVBM
ArXivPDFHTML

Papers citing "Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI"

28 / 28 papers shown
Title
Automated facial recognition system using deep learning for pain
  assessment in adults with cerebral palsy
Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
Álvaro Sabater-Gárriz
F. X. Gaya-Morey
Jose Maria Buades Rubio
Cristina Manresa-Yee
Pedro Montoya
I. Riquelme
CVBM
50
5
0
22 Jan 2024
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
62
123
0
08 Dec 2023
Do humans and Convolutional Neural Networks attend to similar areas
  during scene classification: Effects of task and image type
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Romy Müller
Marcel Duerschmidt
Julian Ullrich
Carsten Knoll
Sascha Weber
Steffen Seitz
HAI
58
6
0
25 Jul 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
76
34
0
07 Jun 2023
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
Aidan Boyd
Patrick J. Tinsley
Kevin W. Bowyer
A. Czajka
CVBM
50
38
0
01 Dec 2021
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
92
665
0
22 Jul 2021
EfficientNetV2: Smaller Models and Faster Training
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan
Quoc V. Le
EgoV
119
2,700
0
01 Apr 2021
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans
  by measuring error consistency
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos
Kristof Meding
Felix Wichmann
55
123
0
30 Jun 2020
Five Points to Check when Comparing Visual Perception in Humans and
  Machines
Five Points to Check when Comparing Visual Perception in Humans and Machines
Christina M. Funke
Judy Borowski
Karolina Stosio
Wieland Brendel
Thomas S. A. Wallis
Matthias Bethge
42
33
0
20 Apr 2020
Cognitive Anthropomorphism of AI: How Humans and Computers Classify
  Images
Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images
Shane T. Mueller
20
18
0
07 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
88
432
0
20 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
118
6,266
0
22 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
139
18,115
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
345
6,778
0
06 May 2019
Facial Landmark Detection: a Literature Survey
Facial Landmark Detection: a Literature Survey
Yue Wu
Q. Ji
CVBM
55
361
0
15 May 2018
Deep Facial Expression Recognition: A Survey
Deep Facial Expression Recognition: A Survey
Shan Li
Weihong Deng
183
1,299
0
23 Apr 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
124
3,957
0
06 Feb 2018
Comparing deep neural networks against humans: object recognition when
  the signal gets weaker
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Robert Geirhos
David H. J. Janssen
Heiko H. Schutt
Jonas Rauber
Matthias Bethge
Felix Wichmann
72
244
0
21 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
1.1K
20,837
0
17 Apr 2017
EmotioNet Challenge: Recognition of facial expressions of emotion in the
  wild
EmotioNet Challenge: Recognition of facial expressions of emotion in the wild
C. F. Benitez-Quiroz
R. Srinivasan
Qianli Feng
Yan Wang
Aleix M. Martinez
CVBM
52
81
0
03 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,559
0
07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.2K
16,976
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,358
0
02 Dec 2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression
  Recognition?
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami
T. Paine
Thomas S. Huang
CVBM
61
267
0
10 Oct 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
72
176
0
17 Aug 2015
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
460
43,649
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
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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