Improving Human Face Recognition using Deep Learning based Image Registration and Multi-Classifier Approachesdoi:10.1109/AICCSA.2018.8612896Mohannad AbuzneidAusif MahmoodIEEEACS/IEEE International Conference on Computer Systems and Applications
Firstly, the proposedIRFacExNetis trained using Adam optimizer for 100 epochs having a batch size of 16 samples. Then the Adam optimizer is replaced by SGD as it works best with a cyclic learning rate scheduler. An efficient Snapshot ensemble requires an aggressive cyclic learning rate scheduler...
Automatic Human Face Detection and Recognition Based On Facial Features Using Deep Learning Approach In recent years, there has been an increased emphasis placed on the identification of face traits in studies. The human face is the most significant charac... R Jatain,M Jailia - 《International...
Edge feature enhanced convolutional neural networks for face recognition using IoT devices is a challenging task in terms of accuracy and reliability, especially when deep convolutional neural networks (DCNN) are used for face recognition. DCN... Ankur,MK Rohilla,R Gupta - 《International Journal of...
Recent research has focused extensively on employing Deep Learning (DL) techniques, particularly Convolutional Neural Networks (CNN), for Speech Emotion Recognition (SER). This study addresses the burgeoning interest in leveraging DL for SER, specificall
deep-learningpytorchaccelerometerwearablehuman-activity-recognitionself-supervised-learningfoundation-models UpdatedOct 24, 2024 Jupyter Notebook ludlows/CSI-Activity-Recognition Star103 Human Activity Recognition using Channel State Information deep-learningtensorflowwifihuman-activity-recognitionchannel-state-informatio...
Hence, to identify these facial expression by computer with high recognition rate was a challenging task. To overcome these problem, this paper presents a new technique for human face recognition using the real time videos. The aim of this paper is to recognize the Human Facial Expression like ...
This exciting post comes to you from Bibin Sebastian, who took our Deep Learning with Pytorch course by OpenCV, and then applied all the learning to create a Human Action Recognition application using PyTorch. Isn’t that amazing? Let’s read on to find out, how he build that. And ...
Wireless body area sensor networks based human activity recognition using deep learning Introduction In recent decades, the application of Artificial intelligence (AI) techniques has been rapidly growing in almost every field including surveillance, healthcare, industries, space exploration, and many more1...
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition Multi-scale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors Improving Wearable-Based Activity Recognition Using Image Representations Multi-sensor information fusion based on machine learning for real applic...