Use of triplet loss for facial restoration in low-resolution images

S Pulgar, D Mery - arXiv preprint arXiv:2409.03530, 2024 - arxiv.org
In recent years, facial recognition (FR) models have become the most widely used biometric
tool, achieving impressive results on numerous datasets. However, inherent hardware …

Use of Triplet Loss for Facial Restoration in Low-Resolution Images

SP Espinoza - 2024 - search.proquest.com
In recent years, facial recognition (FR) has become the most important biometric technique.
However, the challenges inherent in the hardware used to capture the images can generate …

Saliency MAPS and Attention Residual Learning for Low Quality Face Recognition

EMB Hardy - 2022 - search.proquest.com
In recent years, models based on deep convolutional neural networks (DCNNs) have
achieved outstanding performance in face recognition tasks on many known datasets …

[引用][C] Saliency maps and attention residual learning for low quality face recognition

EM Buscaglia Hardy - 2022