Keiller Nogueira | DeepAI

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∙ 05/04/2023

MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture

Multi-task learning has proven to be effective in improving the performa...

0 Diogo Nunes Gonçalves, et al. ∙

∙ 12/01/2022

GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

Current deep learning classifiers, carry out supervised learning and sto...

0 Penny Johnston, et al. ∙

∙ 05/21/2022

Facing the Void: Overcoming Missing Data in Multi-View Imagery

In some scenarios, a single input image may not be enough to allow the o...

1 Gabriel Machado, et al. ∙

∙ 08/03/2020

AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification

It is undeniable that aerial/satellite images can provide useful informa...

0 Gabriel Machado, et al. ∙

∙ 06/25/2020

Fully Convolutional Open Set Segmentation

In semantic segmentation knowing about all existing classes is essential...

0 Hugo Oliveira, et al. ∙

∙ 01/27/2020

Towards Open-Set Semantic Segmentation of Aerial Images

Classical and more recently deep computer vision methods are optimized f...

1 Caio C. V. da Silva, et al. ∙

∙ 06/04/2019

An Introduction to Deep Morphological Networks

The recent impressive results of deep learning-based methods on computer...

0 Keiller Nogueira, et al. ∙

∙ 03/02/2019

Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks

Plant phenology studies rely on long-term monitoring of life cycles of p...

0 Keiller Nogueira, et al. ∙

∙ 04/11/2018

Dynamic Multi-Scale Semantic Segmentation based on Dilated Convolutional Networks

Semantic segmentation requires methods capable of learning high-level fe...

2 Keiller Nogueira, et al. ∙

∙ 11/09/2017

Exploiting ConvNet Diversity for Flooding Identification

Flooding is the world's most costly type of natural disaster in terms of...

0 Keiller Nogueira, et al. ∙

∙ 02/04/2016

Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

We present an analysis of three possible strategies for exploiting the p...

0 Keiller Nogueira, et al. ∙

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