Results 161 to 170 of about 982 (204)
Some of the next articles are maybe not open access.

Tracking Student Attendance in Virtual Classes Based on MTCNN and FaceNet

Lecture Notes in Computer Science, 2022
Nam Le, Thanh Le, Nam Phong Nguyen
exaly   +2 more sources

Face Recognition Model Based On MTCNN And Facenet

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2022
Xinyu Zuo
exaly   +2 more sources

Research on Face Detection Based on Lightweight MTCNN

2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2023
Yujie Wang   +3 more
exaly   +2 more sources

Edge-Oriented Social Distance Monitoring System Based on MTCNN

IEEE Transactions on Industrial Informatics, 2023
Angela Caliwag   +2 more
exaly   +3 more sources

Face Mask Recognition Based on MTCNN and MobileNet

2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2021
The COVID-19 can be transmitted by air droplets, aerosols, and other carriers, the spread of the virus can be effectively prevented by wearing masks in public. Therefore, it is meaningful to identify whether a mask is worn in particular places. In this paper, a method based on multi-task convolutional neural networks (MTCNN) and MobileNet algorithms is
Jianzhao Cao   +3 more
openaire   +2 more sources

Face image authentication scheme based on MTCNN and SLT

open access: yesMultimedia Tools and Applications
DeepFakes and face image manipulation methods have been widely distributed in the last few years and several techniques have been presented to check the authenticity of the face image and detect manipulation if exists.
Rasha Thabit   +6 more
openaire   +3 more sources

Research on the Improvement of MTCNN ALGORITHM: Face Recognition with Mask

2021 2nd International Conference on Artificial Intelligence and Information Systems, 2021
During the 2019-nCoV epidemic, in order to effectively prevent the spread of the virus, people generally wore masks when entering public places, rendering traditional facial recognition technology ineffective. This paper constructs a dataset of face images with masks, and proposes a face recognition algorithm for masks based on deep learning.
Jian Xiao   +3 more
openaire   +2 more sources

MTCNN Based on Gaussian Mixture Image Pyramid

2020 the 3rd International Conference on Control and Computer Vision, 2020
As the first two steps of face recognition system, face detection and key point location are of great significance to the accuracy of face recognition system. The Multi-task Cascaded Convolutional Network(MTCNN) uses a single network model for the first time to complete the task of face detection and key point location.
Ting Wang, Yao Ma, Yuefeng Lu
openaire   +1 more source

Pedestrian and Face Detection with Low Resolution Based on Improved MTCNN

Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020
In recent years, the application of deep learning based on deep convolutional neural networks has gained great success in face detection. However, the large visual variations of pedestrians and faces, such as large pose variations and dark lightings, resulting in lower resolution targets, impose great challenges for these tasks in real-world ...
Li Ren   +5 more
openaire   +1 more source

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