Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Silva DA"'
Autor:
Matheus M. dos Santos, Silvia Silva da Costa Botelho, Paulo L. J. Drews-Jr, Giovanni G. De Giacomo
Publikováno v:
LARS/SBR/WRE
Recently, Deep Convolutional Neural Networks have been applied to various computer vision problems and achieved state-of-the-art results. Among these, Siamese and Triplet networks have obtained great traction in intra-domain matching. However, it is
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Aerial images provide rich information about the Earth surface, while underwater perception is severely limited due to the physical characteristic of water. This work proposes a new problem domain where a matching process fuses aerial and underwater
Publikováno v:
ICMLA
Sonar images pose hindrances when being elucidated for applications such as underwater navigation and localization. On the other hand, satellite images are simpler to be interpreted, but require GPS that is unavailable underwater due to absorption ph
Publikováno v:
BRACIS
Convolutional Neural Networks became a state-of-the-art approach for many different problems of computer vision, pattern recognition, and image processing. However, due to the large number of parameters of these architectures, researchers may find di
Autor:
Márcio Silva de Souza, Virgnia Maria Tavano, Iago Correa, Silvia Silva da Costa Botelho, Paulo Drews
Publikováno v:
ICMLA
Microalgae are unicellular organisms that presents limited physical characteristics such as size, shape or even the present structures. Classifying them manually may require great effort from experts since thousands of microalgae can be found in a sm
Publikováno v:
LARS/SBR
Visible spectrum video based fire detection using non-stationary cameras has been an overlooked research problem. While many authors have successfully developed algorithms to identify and measure the proportions of uncontrolled fire using thermal or