Image representation learning through genetic quantization

Image representations have crucial importance in computer vision systems as they encode the pixels inner and relational information in a computationally tractable form, allowing algorithms to reason about the visual content and take decisions about it. Image representation learning aims to provide a...

ver descrição completa

Detalhes bibliográficos
Autor principal: Érico Marco Dias Alves Pereira (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Representation Learning
Feature Extraction
Evolutionary Algorithm
Genetic Algorithm
Content-Based Image Retrieval
Image Classification
Model Quantization
Color Quantization
Mixed-Precision
Post-training Quantization
Computação – Teses
Aprendizado de representação – Teses
Algoritmos evolucionários – Teses
Algoritmos genéticos – Teses
Recuperação de imagens baseada em conteúdo– Teses
Texto completo:http://hdl.handle.net/1843/41682
País:Brasil
Oai:oai:repositorio.ufmg.br:1843/41682

Texto Completo

http://hdl.handle.net/1843/41682

Registros relacionados