Impact of deep learning approaches on facial expression recognition in healthcare industries
A facial expression recognition system that can provide quick assistance to the healthcare
system and exceptional services to the patients is proposed in this article. The …
system and exceptional services to the patients is proposed in this article. The …
DeepFake detection for human face images and videos: A survey
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling
Facial expressions reflect people's feelings, emotions, and motives, attracting researchers to
develop a self-acting automatic facial expression recognition system. With the advances of …
develop a self-acting automatic facial expression recognition system. With the advances of …
Facial expression recognition with trade-offs between data augmentation and deep learning features
A novel facial expression recognition system has been proposed in this paper. The objective
of this paper is to recognize the types of expressions in the human face region. The …
of this paper is to recognize the types of expressions in the human face region. The …
A Real‐Time Framework for Human Face Detection and Recognition in CCTV Images
R Ullah, H Hayat, AA Siddiqui… - Mathematical …, 2022 - Wiley Online Library
This paper aims to develop a machine learning and deep learning‐based real‐time
framework for detecting and recognizing human faces in closed‐circuit television (CCTV) …
framework for detecting and recognizing human faces in closed‐circuit television (CCTV) …
Learning upper patch attention using dual-branch training strategy for masked face recognition
Y Zhang, X Wang, MS Shakeel, H Wan, W Kang - Pattern Recognition, 2022 - Elsevier
In the context of pandemic, COVID-19, recognition of masked face images is a challenging
problem, as most of the facial components become invisible. By utilizing prior information …
problem, as most of the facial components become invisible. By utilizing prior information …
A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …
involves the automatic extraction of features and patterns from images and videos. The …
A unified framework of deep learning-based facial expression recognition system for diversified applications
This work proposes a facial expression recognition system for a diversified field of
applications. The purpose of the proposed system is to predict the type of expressions in a …
applications. The purpose of the proposed system is to predict the type of expressions in a …
Smart sentiment analysis system for pain detection using cutting edge techniques in a smart healthcare framework
A sentiment analysis system has been proposed in this paper for pain detection using
cutting edge techniques in a smart healthcare framework. This proposed system may be …
cutting edge techniques in a smart healthcare framework. This proposed system may be …
Deep features based convolutional neural network model for text and non-text region segmentation from document images
A deep convolutional neural network model is presented here which uses deep learning
features for text and non-text region segmentation from document images. The key objective …
features for text and non-text region segmentation from document images. The key objective …