Octuplet loss: Make face recognition robust to image resolution

M Knoche, M Elkadeem, S Hörmann… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Image resolution, or in general, image quality, plays an essential role in the performance of
today's face recognition systems. To address this problem, we propose a novel combination …

Back-propagation of the Mahalanobis istance through a deep triplet learning model for person Re-Identification

MJ Gómez-Silva, A de la Escalera… - Integrated Computer …, 2021 - content.iospress.com
The automatization of the Re-Identification of an individual across different video-
surveillance cameras poses a significant challenge due to the presence of a vast number of …

[HTML][HTML] Deep learning of appearance affinity for multi-object tracking and re-identification: A comparative view

MJ Gómez-Silva, A de la Escalera, JM Armingol - Electronics, 2020 - mdpi.com
Recognizing the identity of a query individual in a surveillance sequence is the core of Multi-
Object Tracking (MOT) and Re-Identification (Re-Id) algorithms. Both tasks can be …

Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View

J Domínguez-Martín, MJ Gómez-Silva… - ACM Transactions on …, 2023 - dl.acm.org
Solving Person Re-Identification (Re-Id) through Deep Convolutional Neural Networks is a
daunting challenge due to the small size and variety of the training data, especially in Single …

Protection of personal data using anonymization

AV Bogdanov, A Degtyarev, N Shchegoleva… - … Science and Its …, 2021 - Springer
Data quality and security issues are very closely related. To ensure a high level of reliability
in distributed systems and resilience from external attacks, the process of consolidating …