A Weakly Supervised learning technique for classifying facial expressions-Reference-Cited by-同舟云学术

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A Weakly Supervised learning technique for classifying facial expressions

Published:2019-12 Issue: Volume:128 Page:162-168
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Happy S L^ORCID,Dantcheva Antitza^ORCID,Bremond Francois

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Deep Learning;Goodfellow,2016

2. Joint fine-tuning in deep neural networks for facial expression recognition;Jung,2015

3. Facial expression recognition via a boosted deep belief network;Liu,2014

4. Peak-piloted deep network for facial expression recognition;Zhao,2016

5. Facenet2expnet: regularizing a deep face recognition net for expression recognition;Ding,2017

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1. Face Expression Recognition Method Based on Weak Annotation and Conditional Generative Adversarial Neural Networks;2024

2. A Review of Predictive and Contrastive Self-supervised Learning for Medical Images;Machine Intelligence Research;2023-06-03

3. A novel Leaky Rectified Triangle Linear Unit based Deep Convolutional Neural Network for facial emotion recognition;Multimedia Tools and Applications;2022-11-23

4. An ensemble approach using a frequency-based and stacking classifiers for effective facial expression recognition;Multimedia Tools and Applications;2022-10-04

5. Psychophysiological Arousal in Young Children Who Stutter;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-09-06

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