Articles with "detection semantic" as a keyword



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Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

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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… read more here.

Keywords: multi modal; detection semantic; deep multi; object detection ... See more keywords
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CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

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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,… read more here.

Keywords: classification; detection semantic; segmentation; augmentation ... See more keywords
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HAGDAVS: Height-Augmented Geo-Located Dataset for Detection and Semantic Segmentation of Vehicles in Drone Aerial Orthomosaics

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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… read more here.

Keywords: segmentation vehicles; geo; segmentation; detection ... See more keywords
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Community Detection in Semantic Networks: A Multi-View Approach

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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… read more here.

Keywords: detection semantic; view; multi view; community detection ... See more keywords