Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey

M Karnati, A Seal, D Bhattacharjee… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …

A Systematic Mapping: Exploring Internet of Everything Technologies and Innovations

F Mohd Ali, NA Md Yunus, NN Mohamed, M Mat Daud… - Symmetry, 2023 - mdpi.com
The Internet of Everything (IoE) represents a paradigm shift in the world of connectivity.
While the Internet of Things (IoT) initiated the era of interconnected devices, the IoE takes …

Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection

X Shen, X Sun, H Wang, X Fu - Neural computing and applications, 2023 - Springer
Underwater object detection is a prerequisite for underwater robots to achieve autonomous
operation and ocean exploration. However, poor imaging quality, harsh underwater …

Depression detection in speech using transformer and parallel convolutional neural networks

F Yin, J Du, X Xu, L Zhao - Electronics, 2023 - mdpi.com
As a common mental disorder, depression becomes a major threat to human health and
may even heavily influence one's daily life. Considering this background, it is necessary to …

A framework for facial expression recognition using deep self-attention network

S Indolia, S Nigam, R Singh - Journal of Ambient Intelligence and …, 2023 - Springer
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …

Triplet loss-less center loss sampling strategies in facial expression recognition scenarios

H Rajoli, F Lotfi, A Atyabi… - 2023 57th Annual …, 2023 - ieeexplore.ieee.org
Facial expressions convey massive information and play a crucial role in emotional
expression. Deep neural network (DNN) accompanied by deep metric learning (DML) …

Multichannel convolutional neural network for human emotion recognition from in-the-wild facial expressions

H Boughanem, H Ghazouani, W Barhoumi - The Visual Computer, 2023 - Springer
Facial emotions reflect the person's moods and show the human affective state that is
correlative with non-verbal intentions and behaviors. Despite the advances on computer …

Structural self-contrast learning based on adaptive weighted negative samples for facial expression recognition

H Li, J Zhu, G Wen, H Zhong - The Visual Computer, 2024 - Springer
Face expression recognition in the wild faces challenges such as small data size, low quality
images, and noisy labels. In order to solve these problems, this paper proposes a novel …

Facial Expression Recognition with Deep Learning and Attention Mechanisms: A Systematic Review

A Setyanto, E Utami, K Kusrini - 2024 7th International …, 2024 - ieeexplore.ieee.org
This comprehensive literature review meticulously examines the dynamic field of Facial
Expression Recognition (FER), particularly highlighting the transformative role of deep …

Multi-level feature fusion capsule network with self-attention for facial expression recognition

Z Huang, S Yu, J Liang - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Different from generic image classification, fine-grained classification, such as facial
expression classification, in which multiple expressions share inherently similar underlying …