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 …
Facial expression recognition with visual transformers and attentional selective fusion
Facial Expression Recognition (FER) in the wild is extremely challenging due to occlusions,
variant head poses, face deformation and motion blur under unconstrained conditions …
variant head poses, face deformation and motion blur under unconstrained conditions …
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 …
Adaptive multilayer perceptual attention network for facial expression recognition
In complex real-world situations, problems such as illumination changes, facial occlusion,
and variant poses make facial expression recognition (FER) a challenging task. To solve the …
and variant poses make facial expression recognition (FER) a challenging task. To solve the …
Content-based medical image retrieval with opponent class adaptive margin loss
The increasing utilization of medical imaging technology with digital storage capabilities has
facilitated the compilation of large-scale data repositories. Fast access to image samples …
facilitated the compilation of large-scale data repositories. Fast access to image samples …
Toward purifying defect feature for multilabel sewer defect classification
An automatic vision-based sewer inspection plays a key role of sewage system in a modern
city. Recent advances focus on utilizing a deep learning model to realize the sewer …
city. Recent advances focus on utilizing a deep learning model to realize the sewer …
Hybrid CNN-transformer features for visual place recognition
Y Wang, Y Qiu, P Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visual place recognition is a challenging problem in robotics and autonomous systems
because the scene undergoes appearance and viewpoint changes in a changing world …
because the scene undergoes appearance and viewpoint changes in a changing world …
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 …
Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples
Q Xiang, X Wang, J Lai, L Lei, Y Song, J He… - Expert Systems with …, 2024 - Elsevier
Radar high-resolution range profile (HRRP) plays a crucial role in ballistic target recognition
due to its simplicity and fast computation. Convolutional neural networks (CNNs), a popular …
due to its simplicity and fast computation. Convolutional neural networks (CNNs), a popular …
Spatial-temporal graphs plus transformers for geometry-guided facial expression recognition
Facial expression recognition (FER) is of great interest to the current studies of human-
computer interaction. In this paper, we propose a novel geometry-guided facial expression …
computer interaction. In this paper, we propose a novel geometry-guided facial expression …