Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Hierarchical attention network with progressive feature fusion for facial expression recognition
H Tao, Q Duan - Neural Networks, 2024 - Elsevier
Facial expression recognition (FER) in the wild is challenging due to the disturbing factors
including pose variation, occlusions, and illumination variation. The attention mechanism …
including pose variation, occlusions, and illumination variation. The attention mechanism …
Flepnet: feature level ensemble parallel network for facial expression recognition
With the advent of deep learning, the research on facial expression recognition (FER) has
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
FG-AGR: Fine-grained associative graph representation for facial expression recognition in the wild
C Li, X Li, X Wang, D Huang, Z Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Facial expression recognition (FER) in the wild is challenging due to various unconstrained
conditions, ie, occlusions and head pose variations. Previous methods tend to improve the …
conditions, ie, occlusions and head pose variations. Previous methods tend to improve the …
Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition
Automatic recognition of facial images showing erotic expressions can help to understand
our social interaction and to detect non-appropriate images even when there is no …
our social interaction and to detect non-appropriate images even when there is no …
Expllm: Towards chain of thought for facial expression recognition
Facial expression recognition (FER) is a critical task in multimedia with significant
implications across various domains. However, analyzing the causes of facial expressions is …
implications across various domains. However, analyzing the causes of facial expressions is …
PAtt-Lite: lightweight patch and attention MobileNet for challenging facial expression recognition
Facial Expression Recognition (FER) is a machine learning problem that deals with
recognizing human facial expressions. While existing work has achieved performance …
recognizing human facial expressions. While existing work has achieved performance …
Facial expression recognition using local sliding window attention
S Qiu, G Zhao, X Li, X Wang - Sensors, 2023 - mdpi.com
There are problems associated with facial expression recognition (FER), such as facial
occlusion and head pose variations. These two problems lead to incomplete facial …
occlusion and head pose variations. These two problems lead to incomplete facial …
Hybrid Attention-Aware Learning Network for Facial Expression Recognition in the Wild
W Gong, Z La, Y Qian, W Zhou - Arabian Journal for Science and …, 2024 - Springer
Facial expression recognition (FER) in the wild is one of the most challenging visual tasks
owing to various uncontrolled factors such as occlusion, pose, and subtle variation in real …
owing to various uncontrolled factors such as occlusion, pose, and subtle variation in real …
Privileged attribution constrained deep networks for facial expression recognition
Facial Expression Recognition (FER) is crucial in many research domains because it
enables machines to better understand human behaviours. FER methods face the problems …
enables machines to better understand human behaviours. FER methods face the problems …