Results 71 to 80 of about 982 (204)

Enhancing Face Recognition Model Performance Through HyperStyle‐Driven Data Augmentation

Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.
Face recognition is a reliable biometric technology that utilizes artificial intelligence and computer vision to identify and verify an individual’s identity based on facial features. Its rapid development has enabled integration into diverse applications, including security systems, access control, forensics, and mobile devices.
Muhammad Chaidir, Taufik F. Abidin, Hizir Sofyan, Kahlil Muchtar, Dimitrios A. Karras   +4 more
wiley   +1 more source

A Comparative Benchmark of Face Detection Models for Noisy and Dynamic Online Class Environments

Future Internet
Monitoring students’ on-screen availability is increasingly critical for analyzing participation patterns in synchronous online learning, especially under videoconferencing conditions characterized by compressed video streams, low-resolution face regions,
Cesar Isaza, Pamela Rocío Ibarra Tapia, Cristian Felipe Ramirez-Gutierrez, Jonny Paul Zavala de Paz, Jose Amilcar Rizzo Sierra, Karina Anaya   +5 more
doaj   +1 more source

Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Upon returning to the depot, rail transit vehicles require necessary maintenance. The working condition of train maintenance personnel directly impacts the safety of both staff and equipment. Therefore, effective monitoring and control of activities within train roof access platforms are essential.
Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li, Peter J. Jin   +4 more
wiley   +1 more source

Аналiз ефективностi методiв машинного навчання для задач розпiзнавання [PDF]

, 2022
У данiй роботi було розглянуто ефективнiсть алгоритмiв машинного навчання для розпiзнавання облич, зокрема: HOG, MMOD, MTCNN та state-of-the-art пiдходи їх мультиклассової ...
Куссуль, Н. М., Генiцой, П. О.   +1 more
core   +1 more source

Analysis of the Effect of Lighting Variations on the Performance of a Face Recognition System Based on FaceNet and MTCNN

Face recognition is a biometric technology widely used in automated attendance and access control systems. However, variations in lighting conditions pose a significant challenge that can substantially affect system accuracy in real-world environments ...
Syaiful Bachri Mustamin, Sahriani, Putra Fajar   +2 more
core   +1 more source

Video Identifying and Eraser: Use Multi-Task Cascaded Convolutional Neural Network to Enhance Safety in a Text-to-Video Diffusion Model

Applied Sciences
Current security solutions predominantly rely on cloud-based implementations, often neglecting computational resource constraints and operational efficiency.
Shuang Lin, Ranran Zhou, Yong Wang
doaj   +1 more source

A Light-Weight CNN Based Multi-Task Architecture for Apple Maturity and Disease Classification

Biology and Life Sciences Forum
Quickly and accurately judging the quality grades of apples is the basis for choosing suitable harvesting date and setting a suitable storage strategy.
Li Zhang, Jie Cao
doaj   +1 more source

A Light CNN for End-to-End Car License Plates Detection and Recognition

IEEE Access, 2019
License Plate Recognition (LPR) is of great significance due to its wide range of applications in the Intelligent Transportation System (ITS). It is an important and challenging research topic in image recognition fields.
Wanwei Wang, Jun Yang, Min Chen, Peng Wang   +3 more
doaj   +1 more source

Graph Attention Guided Multi-Task Cascaded Convolutional Neural Network (GAG-MTCNN) for Context-Aware Missing Person Identification in Large Crowded Environments

The problem of missing person identification (MPI) in non-trivial scenarios in dense surveillance is difficult because of occlusions, illumination variations, pose changes, background clutter, high crowd density etc., which have a great impact on ...
Vijaya Samadhan Patil, Jayashree Rajesh Prasad
core   +1 more source

Fast Face Detection via Anchor Cascade and Feature Aggregation

, 2021
Face detection is one of the important tasks in computer vision, because it has a wide range of applications. For example, we need to use face detectors to locate face regions before other tasks such as face recognition.
Wen , Li-Wei
core