Results 51 to 60 of about 1,109 (203)
Enhanced Face Recognition With Residual Networks and Dilated Contextual Transformer Attention
IET Biometrics, Volume 2026, Issue 1, 2026.Face recognition in unconstrained environments remains a challenging problem due to significant variations in facial appearance. In this article, a systematic investigation is conducted into the effectiveness of integrating attention mechanisms within a ResNet34 backbone. ResNet34 is adopted as a compact backbone compared to commonly used deeper ResNet
Randa Nachet +3 more
wiley +1 more source
, 2023 В данной работе проведен анализ эффективности программного модуля распознавания лиц на базе сиамской свёрточной нейронной сети FaceNet.
Климбасов, А. А.
core +1 more source
Reinforcement Training of Face Recognition Systems Using Morphing and XAI Methods
IET Biometrics, Volume 2026, Issue 1, 2026.This study introduces a reinforcement training framework for face recognition systems (FRSs) that leverages facial morphing techniques to generate counterfactual visual instances for model enhancement. Two complementary morphing strategies were employed: a geometric approach based on Delaunay–Voronoi triangulation (DVT‐Morph) and a generative approach ...
Roberto Gallardo-Cava +6 more
wiley +1 more source
OpenFace: Face recognition with Google's FaceNet deep neural network.
, 2015 <p>Face recognition with Google's FaceNet deep neural network.</p ...
Pillai, Padmanabhan +4 more
core +1 more source
DEFOG: Deep Learning with Attention Mechanism Enabled Cross-Age Face Recognition
Tsinghua Science and TechnologyAs individuals age, their facial features change, which can hinder the accuracy of face recognition technology. To address this challenge, a new cross-age face recognition algorithm, leveraging deep learning and a loss function (Loss), has been proposed ...
Biaokai Zhu +11 more
doaj +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
Face Recognition Using DCT–FFT Preprocessing and Transfer Learning Under Multiple Constraints
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.While significant progress has been made in face recognition under individual environmental constraints, comprehensive approaches that address multiple simultaneous challenges—such as occlusion and pose variation—remain relatively scarce in the literature.
John Kwame Essel +4 more
wiley +1 more source
Combining Classifiers for Deep Learning Mask Face Recognition
Information, 2023 This research proposes a single network model architecture for mask face recognition using the FaceNet training method. Three pre-trained convolutional neural networks of different sizes are combined, namely InceptionResNetV2, InceptionV3, and ...
Wen-Chang Cheng +3 more
doaj +1 more source
Reviews in Aquaculture, Volume 17, Issue 4, September 2025.ABSTRACT Individual identification of fish within the same species is one of the most crucial and frequently performed tasks in aquaculture research, and it is also widely used in aquaculture production. Fish sampling, treating, welfare, and disease state estimation are increasingly turning from group‐based to individualized.
Mohammad Mehdi Ziaei +2 more
wiley +1 more source
Implementation of FaceNet and support vector machine in a real-time web-based timekeeping application [PDF]
, 2022 This paper presents in detail how to build up and implement a real-time web-based face recognition application. The system works so that images of people are recorded and compared with the references on the database.
Nguyen, Hoang-Sy +5 more
core +1 more source