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On Facial Expression Recognition Benchmarks [PDF]
Facial expression is an important form of nonverbal communication, as it is noted that 55% of what humans communicate is expressed in facial expressions. There are several applications of facial expressions in diverse fields including medicine, security,
Ebenezer Owusu +2 more
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Facial Expression Recognition: A Survey [PDF]
Facial Expression Recognition (FER), as the primary processing method for non-verbal intentions, is an important and promising field of computer vision and artificial intelligence, and one of the subject areas of symmetry. This survey is a comprehensive and structured overview of recent advances in FER. We first categorise the existing FER methods into
Fei Chen, Yunxin Huang, Shaohe Lv
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Effortless facial expression recognition without motor simulation [PDF]
Efficient recognition of facial expressions is often assumed to require covert and unconscious imitation of the observed facial movements – a “motor simulation”.
Sarah Carneiro Pereira +1 more
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Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks [PDF]
Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes.
Xiangwei Mou +4 more
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Facial expression recognition via transfer learning [PDF]
INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life.
Bin Li
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Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]
Facial expression is considered one of the most important ways of communication and human response to its environment. Recognition of facial emotional expression is used in many research fields, such as psychological studies, robotics, identity ...
Sara Motamed +2 more
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Evolutionary Facial Expression Recognition [PDF]
Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose a novel method based on evolutionary algorithms, that deals with both challenges by massively reducing the number of trainable parameters, whilst simultaneously retaining ...
Emmanuel Dufourq, Bruce A. Bassett
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An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
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Facial expression recognition on a quantum computer [PDF]
AbstractWe address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach. In order to define an efficient classifier for a given dataset, our approach substantially exploits quantum interference.
Riccardo Mengoni +2 more
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Face expression image detection and recognition based on big data technology
This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
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