Results 31 to 40 of about 1,109 (203)
Despite considerable progress in face recognition technology in recent years, deep learning (DL) and convolutional neural networks (CNN) have revealed commendable recognition effects with the advent of artificial intelligence and big data.
Hsiao-Chi Li +2 more
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Selfie Periocular Verification Using an Efficient Super-Resolution Approach
Selfie-based biometrics has great potential for a wide range of applications since, e.g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, when a major portion of a face is covered by a facial mask.
Juan E. Tapia +4 more
doaj +1 more source
To fulfill the tasks of human-robot interaction (HRI), how to detect the specific human (SH) becomes paramount. In this paper, the deep learning approach by the integration of Single-Shot Detection, FaceNet, and Kernelized Correlation Filter (SSD-FN-KCF)
Chih-Lyang Hwang +3 more
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Object detection in remote sensing images is one of the most critical computer vision tasks for various earth observation applications. Previous studies applied object detection models to orthomosaic images generated from the SfM (Structure-from-Motion ...
Caiwang Zheng +4 more
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A lightweight deep learning model for real‐time face recognition
Lightweight deep learning models for face recognition are becoming increasingly crucial for deployment on resource‐constrained devices such as embedded systems or mobile devices. This paper presents a highly efficient and compact deep learning (DL) model
Zong‐Yue Deng +3 more
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Security Monitoring System Using FaceNet For Wireless Sensor Network
Wireless Sensor networks are used to monitor remote areas. Wireless sensor network can be applied to monitor a facility by considering each camera as sensor nodes. Cameras are used as nodes in a wireless sensor network with a central server or a gateway node for all the monitoring and analysis of the information retrieved from the nodes. Identification
Preetha S, Sheela S. V
openaire +3 more sources
Speech emotion recognition based on transfer learning from the FaceNet framework
Speech plays an important role in human-computer emotional interaction. FaceNet used in face recognition achieves great success due to its excellent feature extraction.
Zhang, Mengyu +11 more
core +1 more source
Identification of Lost Children using Face Aging with Conditional GAN [PDF]
Face recognition technology is a big area that consists of the many features in it but it also comes with some of the factors which affect this technology, one of the factors is Face aging which makes face recognition more difficult. As in India, a large
Pupala Amisha +3 more
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A Study of Deep Learning-Based Face Recognition Models for Sibling Identification
Accurate identification of siblings through face recognition is a challenging task. This is predominantly because of the high degree of similarities among the faces of siblings. In this study, we investigate the use of state-of-the-art deep learning face
Rita Goel, Irfan Mehmood, Hassan Ugail
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A Real-time Automated System for Object Detection and Facial Recognition [PDF]
Object detection, facial recognition, and person identification are important tasks in computer vision with numerous real-life applications. The major goal of the proposed model is to identify people and recognize them in the images.
Reddy K. Shyam Sunder +4 more
doaj +1 more source

