143 citations · 173 across the 4 of their papers we have counts for
4 papers
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Pedro H. T. Gama, Hugo Oliveira, José Marcato Junior +1
Semantic segmentation is a classic computer vision task with multiple applications, which includes medical and remote sensing image analysis. Despite recent advances with deep-base…
Counting and Locating High-Density Objects Using Convolutional Neural Network
Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta +8
This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is the first object…
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori +8
Deep learning-based networks are among the most prominent methods to learn linear patterns and extract this type of information from diverse imagery conditions. Here, we propose a…
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves +11
In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its p…