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pro vyhledávání: '"João, Leonardo De Melo"'
Autor:
Joao, Leonardo de Melo, Sousa, Azael de Melo e, Santos, Bianca Martins dos, Guimaraes, Silvio Jamil Ferzoli, Gomes, Jancarlo Ferreira, Kijak, Ewa, Falcao, Alexandre Xavier
State-of-the-art (SOTA) object detection methods have succeeded in several applications at the price of relying on heavyweight neural networks, which makes them inefficient and inviable for many applications with computational resource constraints. T
Externí odkaz:
http://arxiv.org/abs/2306.14840
Saliency Object Detection (SOD) has several applications in image analysis. The methods have evolved from image-intrinsic to object-inspired (deep-learning-based) models. When a model fail, however, there is no alternative to enhance its saliency map
Externí odkaz:
http://arxiv.org/abs/2112.00665
Saliency object detection estimates the objects that most stand out in an image. The available unsupervised saliency estimators rely on a pre-determined set of assumptions of how humans perceive saliency to create discriminating features. By fixing t
Externí odkaz:
http://arxiv.org/abs/2006.16956
Akademický článek
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Autor:
João, Leonardo de Melo, 1995
Publikováno v:
Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Orientador: Alexandre Xavier Falcão Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação Resumo: A detecção de objetos salientes estima os objetos que mais se destacam em uma imagem. Os estimadores de saliência
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::ed5729d0f1f1bd2d70338e804e29ff6b