Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition [PDF]
Biomimetics, 2021 This paper presents a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations in biological visual perception.
Zhengyao Wen +3 more
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An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Jisuanji gongcheng, 2023 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
doaj +1 more source
Suppressing Uncertainties for Large-Scale Facial Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the uncertainties caused by ambiguous facial expressions, low-quality facial images, and the subjectiveness of annotators.
Kai Wang +4 more
semanticscholar +1 more source
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos [PDF]
Computer Vision and Pattern Recognition, 2022 Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether performances of existing methods remain satisfactory in real-world ...
Yan Wang +7 more
semanticscholar +1 more source
POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition [PDF]
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2022 Facial expression recognition (FER) is an important task in computer vision, having practical applications in areas such as human-computer interaction, education, health-care, and online monitoring.
Ce Zheng, Mat'ias Mendieta, Chen Chen
semanticscholar +1 more source
Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 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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Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Applied Sciences, 2022 Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination ...
Jin-Chul Kim +4 more
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RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]
Jisuanji gongcheng, 2023 Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
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Deep Facial Expression Recognition: A Survey [PDF]
IEEE Transactions on Affective Computing, 2018 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to ...
Shan Li, Weihong Deng
semanticscholar +1 more source
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we propose a novel Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition. We view the expression information as the combination of the shared information (expression similarities ...
Delian Ruan +5 more
semanticscholar +1 more source