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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2972974
Abstract: Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous vehicles are usually equipped with different sensors (e.g. cameras, LiDARs, Radars), and multiple…
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Keywords:
multi modal;
detection semantic;
deep multi;
object detection ... See more keywords
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Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2931-1
Abstract: BackgroundDeep learning techniques have been successfully applied to bioimaging problems; however, these methods are highly data demanding. An approach to deal with the lack of data and avoid overfitting is the application of data augmentation,…
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Keywords:
classification;
detection semantic;
segmentation;
augmentation ... See more keywords
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Published in 2022 at "Data"
DOI: 10.3390/data7040050
Abstract: Detection and Semantic Segmentation of vehicles in drone aerial orthomosaics has applications in a variety of fields such as security, traffic and parking management, urban planning, logistics, and transportation, among many others. This paper presents…
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Keywords:
segmentation vehicles;
geo;
segmentation;
detection ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24081141
Abstract: The semantic social network is a complex system composed of nodes, links, and documents. Traditional semantic social network community detection algorithms only analyze network data from a single view, and there is no effective representation…
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Keywords:
detection semantic;
view;
multi view;
community detection ... See more keywords