Search Results - "Menezes, Angelo G."
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Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers
Published in IEEE access (2023)“…Training deep learning models for object detection usually requires a large amount of data, a condition that is not common for most real-world applications,…”
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Journal Article -
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Continual Object Detection: A review of definitions, strategies, and challenges
Published in Neural networks (01-04-2023)“…The field of Continual Learning investigates the ability to learn consecutive tasks without losing performance on those previously learned. The efforts of…”
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Journal Article -
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Automatic Attendance Management System based on Deep One-Shot Learning
Published in 2020 International Conference on Systems, Signals and Image Processing (IWSSIP) (01-07-2020)“…Due to the positive relationship between the presence of students in classes and their performance, student attendance assessment is considered essential…”
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Conference Proceeding -
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Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition
Published 18-01-2021“…Surveillance scenarios are prone to several problems since they usually involve low-resolution footage, and there is no control of how far the subjects may be…”
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Journal Article -
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Efficient Parameter Mining and Freezing for Continual Object Detection
Published 19-02-2024“…Continual Object Detection is essential for enabling intelligent agents to interact proactively with humans in real-world settings. While parameter-isolation…”
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Journal Article -
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Continual Object Detection: A review of definitions, strategies, and challenges
Published 30-05-2022“…The field of Continual Learning investigates the ability to learn consecutive tasks without losing performance on those previously learned. Its focus has been…”
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Journal Article -
7
Supervised Learning in the Context of Educational Data Mining to Avoid University Students Dropout
Published in 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) (01-07-2019)“…Educational data mining is a research field that looks for extracting useful information from large educational datasets. This area provides tools for…”
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Conference Proceeding