no code implementations • 4 May 2023 • Diogo Nunes Goncalves, Jose Marcato Junior, Pedro Zamboni, Hemerson Pistori, Jonathan Li, Keiller Nogueira, Wesley Nunes Goncalves
After the backbone feature extraction, two feature maps are learned for each task.
no code implementations • 1 Dec 2022 • Penny Johnston, Keiller Nogueira, Kevin Swingler
Current deep learning classifiers, carry out supervised learning and store class discriminatory information in a set of shared network weights.
1 code implementation • 21 May 2022 • Gabriel Machado, Keiller Nogueira, Matheus Barros Pereira, Jefersson Alex dos Santos
In some scenarios, a single input image may not be enough to allow the object classification.
no code implementations • 3 Aug 2020 • Gabriel Machado, Edemir Ferreira, Keiller Nogueira, Hugo Oliveira, Pedro Gama, Jefersson A. dos Santos
Despite a large number of public repositories for both georeferenced photographs and aerial images, there is a lack of benchmark datasets that allow the development of approaches that exploit the benefits and complementarity of aerial/ground imagery.
1 code implementation • 25 Jun 2020 • Hugo Oliveira, Caio Silva, Gabriel L. S. Machado, Keiller Nogueira, Jefersson A. dos Santos
In semantic segmentation knowing about all existing classes is essential to yield effective results with the majority of existing approaches.
no code implementations • 27 Jan 2020 • Caio C. V. da Silva, Keiller Nogueira, Hugo N. Oliveira, Jefersson A. dos Santos
A more uncommon source of images exploited in the remote sensing field are satellite and aerial images.
no code implementations • 4 Jun 2019 • Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, Jefersson A. dos Santos
Results show that the proposed DeepMorphNets is a promising technique that can learn distinct features when compared to the ones learned by current deep learning methods.
1 code implementation • 2 Mar 2019 • Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini, Thiago S. F. Silva, Leonor Patricia C. Morellato, Ricardo da S. Torres
Plant phenology studies rely on long-term monitoring of life cycles of plants.
1 code implementation • 11 Apr 2018 • Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William R. Schwartz, Jefersson A. dos Santos
A systematic evaluation of the proposed algorithm is conducted using four high-resolution remote sensing datasets with very distinct properties.
1 code implementation • 9 Nov 2017 • Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de O. Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo T. Calumby, Lin Tzy Li, Jefersson A. dos Santos, Ricardo da S. Torres
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities.
1 code implementation • 4 Feb 2016 • Keiller Nogueira, Otávio A. B. Penatti, Jefersson A. dos Santos
We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and using ConvNets as feature extractors.