Results 171 to 180 of about 1,466 (208)

Face Recognition Classification Using Mtcnn and Transfer Learning Vgg19 in Face Position Tracking

2025 13th International Conference on Cyber and IT Service Management (CITSM)
A critical challenge in implementing face recognition systems is accurately predicting how well they will perform on new, unseen data. This research addresses this challenge by presenting a detailed performance analysis of an MTCNN-VGG19 pipeline on a ...
A. Setianingrum, Nurul Faizah Rozy, Viva Arifin, Nenny Anggraini, Muhammad Akbar   +4 more
semanticscholar   +1 more source

Automated Urine Color Analysis using MTCNN for Rapid and Non-Invasive UTI Detection

2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN)
One of the most common diseases, urinary tract infections (UTIs) are typically detected by laboratory urine analysis. This work introduces an automated UTI detection system that uses Multi-Task Cascaded Convolutional Neural Networks (MTCNN) for analyzing
G. M. Sathyaseelan, Vineetha Varghese, R. N., N. Kavith, D. Vikram, S. Santhoshkumar   +5 more
semanticscholar   +1 more source

Performance Evaluation and Comparison of YOLOv8, MobileNet-SSD, and MTCNN for Face Detection in Smart Attendance System

International Symposium on Embedded Computing and System Design
In this study, three well-known face detection models YOLOv8, MobileNet-SSD, and MTCNN are thoroughly assessed and contrasted in relation to smart attendance systems.
Arvinder Singh Dhoul, Burhanuddin Saifee, Ruchi Patel, S. Vishwakarma, Ritu Ahluwalia   +4 more
semanticscholar   +1 more source

Face Recognition using MTCNN, Inception - Resnet with Ensemble Approach

2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
One of the critical task included in the computer vision in face recognition. Security system, surveillance system, computer-human interactions are some of the applications where face recognition has been widely used.
Mahanthesha U, Tejaswini R M, N. C R, Y. T. Ravikumar   +3 more
semanticscholar   +1 more source

Research on face detection method based on improved MTCNN network

Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019
Face detection is one of the important topics in computer vision research and is the basis of many applications. A face detection algorithm based on improved Multi-Task Convolution Neural Network (MTCNN) is proposed in this paper. To increase the accuracy of eye location in complex situations, this method improves the network structure of MTCNN, builds
Yang Wang, Guowu Yuan, Dong Zheng, Hao Wu, Yuanyuan Pu, Dan Xu   +5 more
openaire   +1 more source

A comparitive study of MTCNN, Viola-Jones, SSD and YOLO face detection algorithms

2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
A crucial part of computer vision, face detection has many uses, such as security systems and facial recognition. The four well-known face detection algorithms Viola-Jones, MTCNN, SSD, and YOLO are compared in this abstract with an emphasis on how well ...
Sumit Tariyal, Rahul Chauhan, Yogesh Bijalwan, Ruchira Rawat, Rupesh Gupta   +4 more
semanticscholar   +1 more source

Face Shape Classification Based on MTCNN and FaceNet

2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI), 2021
Wenxin. Ji, Lina. Jin
openaire   +1 more source

Face Recognition with Mask Using MTCNN and FaceNet

2021
Abhishek Sunil Tiwari, Prajul Gupta, Aanya Jain, Hari Vilas Panjwani, G. Malathi   +4 more
openaire   +1 more source

Eye State Detection Based on MTCNN and ESP

2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2023
Wenhao Yang, Haojun Yuan, Pengcheng Li
openaire   +1 more source

Comparative Analysis of Multi-Face Detection Methods in Classroom Environments: Haar Cascade, MTCNN, YOLOFace, and RetinaFace

2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE)
Face detection in educational environments is vital for applications such as automated attendance systems, behavior analysis, and personalized learning tools.
Gheri Febri Ananda, H. A. Nugroho, I. Ardiyanto   +2 more
semanticscholar   +1 more source