output
20132021
most citedA Review on Deep Learning in UAV Remote Sensing

462 citations

5 papers

cs.CV2021★ 44 cited

Semantic Segmentation with Labeling Uncertainty and Class Imbalance

Patrik Olã Bressan, José Marcato Junior, José Augusto Correa Martins +8

Recently, methods based on Convolutional Neural Networks (CNN) achieved impressive success in semantic segmentation tasks. However, challenges such as the class imbalance and the u…

cs.CV2021★ 25 cited

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…

cs.CV2021★ 462 cited

A Review on Deep Learning in UAV Remote Sensing

Lucas Prado Osco, José Marcato Junior, Ana Paula Marques Ramos +7

Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language,…

cs.CV2020★ 143 cited

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…

cs.CV2013★ 22 cited

ALPRS - A New Approach for License Plate Recognition using the Sift Algorithm

Francisco Assis da Silva, Almir Olivette Artero, Maria Stela Veludo de Paiva +1

This paper presents a new approach for the automatic license plate recognition, which includes the SIFT algorithm in step to locate the plate in the input image. In this new approa…