Deep Adversarial Frameworks for Visually Explainable Periocular Recognition

Machine Learning (ML) models have pushed state­of­the­art performance closer to (and even beyond) human level. However, the core of such algorithms is usually latent and hardly understandable. Thus, the field of Explainability focuses on researching and adopting techniques that can explain the reaso...

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Detalhes bibliográficos
Autor principal: Brito, João Pedro da Cruz (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Artificial Intelligence
Convolutional Neural Networks
Deep Learning
Explainability
Generative Adversarial Networks
Image Synthesis
Instance Segmentation
Machine Learning
Periocular Recognition
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Texto completo:http://hdl.handle.net/10400.6/11850
País:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/11850

Texto Completo

http://hdl.handle.net/10400.6/11850

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