Toward vehicle occupant-invariant models for activity characterization
L Capozzi, V Barbosa, C Pinto, JR Pinto… - IEEE …, 2022 - ieeexplore.ieee.org
With the advent of self-driving cars and the push by large companies into fully driverless
transportation services, monitoring passenger behaviour in vehicles is becoming …
transportation services, monitoring passenger behaviour in vehicles is becoming …
Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations
Despite the high performance of current presentation attack detection (PAD) methods, the
robustness to unseen attacks is still an under addressed challenge. This work approaches …
robustness to unseen attacks is still an under addressed challenge. This work approaches …
A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning
Fingerprint presentation attack detection (PAD) methods present a stunning performance in
current literature. However, the fingerprint PAD generalisation problem is still an open …
current literature. However, the fingerprint PAD generalisation problem is still an open …
[PDF][PDF] Signer-independent sign language recognition with adversarial neural networks
Sign Language Recognition (SLR) has become an appealing topic in modern societies
because such technology can ideally be used to bridge the gap between deaf and hearing …
because such technology can ideally be used to bridge the gap between deaf and hearing …
Condition Invariance for Autonomous Driving by Adversarial Learning
DT e Silva, RPM Cruz - Iberoamerican Congress on Pattern Recognition, 2023 - Springer
Object detection is a crucial task in autonomous driving, where domain shift between the
training and the test set is one of the main reasons behind the poor performance of a …
training and the test set is one of the main reasons behind the poor performance of a …
Genetic improvement of industrial saccharomyces cerevisiae: Consolidated bioprocessing and value-added products for an advanced lignocellulosic biorefinery
JFTP da Cunha - 2021 - search.proquest.com
Nos últimos anos a produção biotecnológica de biocombustíveis e outros químicos a partir
de biomassa renovável apareceu como uma alternativa para a economia baseada em …
de biomassa renovável apareceu como uma alternativa para a economia baseada em …
Adversarial domain adaptation for sensor networks
FT Andrade - 2020 - search.proquest.com
With the recent surge of big data, manually annotating datasets has become an impossible
task. Asa result, domain adaptation has gained more importance than ever, since it allows …
task. Asa result, domain adaptation has gained more importance than ever, since it allows …
[PDF][PDF] Fingerprint Anti Spoofing-Domain Adaptation and Adversarial Learning
JAP Pereira - 2020 - repositorio-aberto.up.pt
The fingerprint is the oldest biometric trait used as a form of identification. With the
increasing implementation of biometric sensors in mobile devices, its use is becoming a …
increasing implementation of biometric sensors in mobile devices, its use is becoming a …
[PDF][PDF] Rethinking a Deep Learning Pipeline for Images
RP de Magalhães Cruz - 2021 - repositorio-aberto.up.pt
P attern recognition methods involve several stages starting from the raw data to the
prediction output. This is known as a pipeline. While deep learning has been hailed as …
prediction output. This is known as a pipeline. While deep learning has been hailed as …