Results 31 to 40 of about 405,852 (280)
Efficient recognition of facial expressions does not require motor simulation
What mechanisms underlie facial expression recognition? A popular hypothesis holds that efficient facial expression recognition cannot be achieved by visual analysis alone but additionally requires a mechanism of motor simulation — an unconscious, covert
Gilles Vannuscorps +2 more
doaj +1 more source
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
This paper presents an efficiently robust facial expression recognition (FER) network, named EfficientFace, which holds much fewer parameters but more robust to the FER in the wild.
Zengqun Zhao, Qingshan Liu, Feng Zhou
semanticscholar +1 more source
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network [PDF]
Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation.
Shervin Minaee, AmirAli Abdolrashidi
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Feature Extraction Techniques for Facial Expression Recognition (FER)
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
doaj +1 more source
Facial expression at retrieval affects recognition of facial identity [PDF]
It is well known that memory can be modulated by emotional stimuli at the time of encoding and consolidation. For example, happy faces create better identity recognition than faces with certain other expressions. However, the influence of facial expression at the time of retrieval remains unknown in the literature.
Wenfeng eChen +8 more
openaire +3 more sources
Facial Expression Recognition Based on Anti-Aliasing Residual Attention Network [PDF]
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
doaj +1 more source
Results: Recognition of Facial Expression by Digital Image Processing [PDF]
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
core +1 more source
Understanding and Mitigating Annotation Bias in Facial Expression Recognition [PDF]
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
semanticscholar +1 more source

