Search Results - "Gama, Pedro H. T."
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1
Facing Erosion Identification in Railway Lines Using Pixel-Wise Deep-Based Approaches
Published in Remote sensing (Basel, Switzerland) (01-02-2020)“…Soil erosion is considered one of the most expensive natural hazards with a high impact on several infrastructure assets. Among them, railway lines are one of…”
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Journal Article -
2
Weakly Supervised Few-Shot Segmentation via Meta-Learning
Published in IEEE transactions on multimedia (2023)“…Semantic segmentation is a classic computer vision task with multiple applications, which includes medical and remote sensing image analysis. Despite recent…”
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Journal Article -
3
Domain Generalization in Medical Image Segmentation via Meta-Learners
Published in 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (24-10-2022)“…Automatic and semi-automatic radiological image segmentation can help physicians in the processing of real-world medical data for several tasks such as…”
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Conference Proceeding -
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Meta-learners for few-shot weakly-supervised medical image segmentation
Published in Pattern recognition (01-09-2024)“…Most uses of Meta-Learning in visual recognition are very often applied to image classification, with a relative lack of work in other tasks such as…”
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Journal Article -
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A Tool for Bridge Detection in Major Infrastructure Works Using Satellite Images
Published in 2019 XV Workshop de Visão Computacional (WVC) (01-09-2019)“…The identification of bridges in major infrastructure works is crucial to provide information about the status of these constructions and support possible…”
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Conference Proceeding -
6
Learning to Segment Medical Images from Few-Shot Sparse Labels
Published in 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (01-10-2021)“…In this paper, we propose a novel approach for few-shot semantic segmentation with sparse labeled images. We investigate the effectiveness of our method, which…”
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Conference Proceeding -
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Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Published 11-05-2023“…Most uses of Meta-Learning in visual recognition are very often applied to image classification, with a relative lack of works in other tasks {such} as…”
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Journal Article -
8
Learning to Segment Medical Images from Few-Shot Sparse Labels
Published 11-08-2021“…In this paper, we propose a novel approach for few-shot semantic segmentation with sparse labeled images. We investigate the effectiveness of our method, which…”
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Journal Article -
9
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Published 03-09-2021“…Semantic segmentation is a classic computer vision task with multiple applications, which includes medical and remote sensing image analysis. Despite recent…”
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Journal Article