Results 31 to 40 of about 424,424 (323)
Frontiers in Psychology, 2013 Using Garner’s speeded classification task existing studies demonstrated an asymmetric interference in the recognition of facial identity and facial expression. It seems that expression is hard to interfere with identity recognition.
Yamin eWang +3 more
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Understanding and Mitigating Annotation Bias in Facial Expression Recognition [PDF]
IEEE International Conference on Computer Vision, 2021 The performance of a computer vision model depends on the size and quality of its training data. Recent studies have unveiled previously-unknown composition biases in common image datasets which then lead to skewed model outputs, and have proposed ...
Yunliang Chen, Jungseock Joo
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IEEE Access, 2023 Facial expression analysis aims to understand human emotions by analyzing visual face information and is a popular topic in the computer vision community. In educational research, the analyzed students’ affect states can be used by faculty members
Bei Fang +3 more
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Feature Extraction Techniques for Facial Expression Recognition (FER)
Al-Iraqia Journal for Scientific Engineering Research, 2023 Facial expression recognition (FER) is a significant area of study in computer vision and affective computing. In numerous applications, such as human-computer interaction, emotion detection, and behavior analysis.
Hadeel Mohammed +2 more
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Results: Recognition of Facial Expression by Digital Image Processing [PDF]
, 2016 Facial expression is one of most important behavioral measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has become a promising research area.
Patil, M. M. (Manjusha) +1 more
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Training deep networks for facial expression recognition with crowd-sourced label distribution [PDF]
International Conference on Multimodal Interaction, 2016 Crowd sourcing has become a widely adopted scheme to collect ground truth labels. However, it is a well-known problem that these labels can be very noisy.
Emad Barsoum +3 more
semanticscholar +1 more source
Micron-BERT: BERT-Based Facial Micro-Expression Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief period, i.e., 0.25 to 0.5 seconds.
Xuan-Bac Nguyen +5 more
semanticscholar +1 more source
Adaptive Multilayer Perceptual Attention Network for Facial Expression Recognition
IEEE transactions on circuits and systems for video technology (Print), 2022 In complex real-world situations, problems such as illumination changes, facial occlusion, and variant poses make facial expression recognition (FER) a challenging task.
Hanwei Liu +4 more
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Facial Expression Recognition Based on Anti-Aliasing Residual Attention Network [PDF]
Jisuanji gongcheng, 2023 As it is difficult to extract effective features in facial expression recognition and the high similarity between categories and easy confusion lead to low accuracy of facial expression recognition, a facial expression recognition method based on anti ...
Fangyu FENG, Xiaoshu LUO, Zhiming MENG, Guangyu WANG
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Evolutionary Facial Expression Recognition [PDF]
Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020 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 Bassett
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