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Using Positive Matching Contrastive Loss with Facial Action Units to
  mitigate bias in Facial Expression Recognition

Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition

8 March 2023
Varsha Suresh
Desmond C. Ong
    FaML
    CVBM
ArXivPDFHTML

Papers citing "Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition"

18 / 18 papers shown
Title
Not All Negatives are Equal: Label-Aware Contrastive Loss for
  Fine-grained Text Classification
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
Varsha Suresh
Desmond C. Ong
VLM
97
83
0
12 Sep 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
58
88
0
23 Aug 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
110
53
0
05 Jan 2021
Gradient Starvation: A Learning Proclivity in Neural Networks
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki
Sekouba Kaba
Yoshua Bengio
Aaron Courville
Doina Precup
Guillaume Lajoie
MLT
111
266
0
18 Nov 2020
Learning explanations that are hard to vary
Learning explanations that are hard to vary
Giambattista Parascandolo
Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
FAtt
58
184
0
01 Sep 2020
Investigating Bias and Fairness in Facial Expression Recognition
Investigating Bias and Fairness in Facial Expression Recognition
Tian Xu
J. White
Sinan Kalkan
Hatice Gunes
CVBM
71
165
0
20 Jul 2020
J$\hat{\text{A}}$A-Net: Joint Facial Action Unit Detection and Face
  Alignment via Adaptive Attention
JA^\hat{\text{A}}A^A-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention
Zhiwen Shao
Zhilei Liu
Jianfei Cai
Lizhuang Ma
CVBM
60
137
0
18 Mar 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
108
320
0
16 Dec 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
372
279
0
07 Oct 2019
Knowledge-Enriched Transformer for Emotion Detection in Textual
  Conversations
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong
Di Wang
Chunyan Miao
49
269
0
24 Sep 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
RUBi: Reducing Unimodal Biases in Visual Question Answering
Rémi Cadène
Corentin Dancette
H. Ben-younes
Matthieu Cord
Devi Parikh
CML
83
373
0
24 Jun 2019
Facial Motion Prior Networks for Facial Expression Recognition
Facial Motion Prior Networks for Facial Expression Recognition
Yuedong Chen
Jianfeng Wang
Shikai Chen
Zhongchao Shi
Jianfei Cai
CVBM
42
79
0
23 Feb 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson
Margaret Mitchell
AILaw
FaML
59
359
0
25 Nov 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
112
248
0
06 Sep 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
375
681
0
17 Feb 2018
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
93
2,630
0
23 Oct 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
213
4,305
0
07 Oct 2016
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
59
267
0
10 Oct 2015
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