Zobrazeno 1 - 10
of 694
pro vyhledávání: '"VQA"'
Publikováno v:
In Expert Systems With Applications 10 March 2025 264
Autor:
Moatasim Mahmoud, Stamatia Rizou, Andreas S. Panayides, Nikolaos V. Kantartzis, George K. Karagiannidis, Pavlos I. Lazaridis, Zaharias D. Zaharis
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 7301-7316 (2024)
360° videos and virtual reality (VR) are among the defining applications for a new era of immersive multimedia technologies. However, streaming high-quality 360° videos constitutes a challenge for service providers and network operators, especially
Externí odkaz:
https://doaj.org/article/36baa2a4d48d408a9de171e16e6ca14b
Publikováno v:
IEEE Access, Vol 12, Pp 141306-141323 (2024)
The development of vision and language transformer models has paved the way for Visual Question Answering (VQA) models and related research. There are metrics to assess the general accuracy of VQA models but subjective assessment of the answers gener
Externí odkaz:
https://doaj.org/article/4c799dda1adf4dd59b2d459f269b5cc1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16799-16814 (2024)
Remote sensing (RS) visual question answering (VQA) is a task that answers questions about a given RS image by utilizing both image and textual information. However, existing methods in RS VQA overlook the fact that the ground truths in RS VQA benchm
Externí odkaz:
https://doaj.org/article/dda33c258c314686b35451ab6f8bcbc8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14823-14835 (2024)
Remote sensing (RS) visual question answering (VQA) provides accurate answers through the analysis of RS images (RSIs) and associated questions. Recent research has increasingly adopted transformers for feature extraction. However, this trend leads t
Externí odkaz:
https://doaj.org/article/9b2880f8a088446b81905f73107a8f63
Akademický článek
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Autor:
WANG Yu, SUN Haichun
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1487-1505 (2023)
Visual question answering (VQA) is a popular cross-modal task that combines natural language pro-cessing and computer vision techniques. The main objective of this task is to enable computers to intelligently recognize and retrieve visual content and
Externí odkaz:
https://doaj.org/article/07b5121b970449d29ac9ce31fc3bd51f
Autor:
Jiangfan Feng, Hui Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103641- (2024)
Remote sensing visual question answering (RSVQA) is a user-friendly method used for analyzing remote sensing images (RSIs) in various tasks. However, current methods often overlook geospatial objects, which possess a multi-scale representation and re
Externí odkaz:
https://doaj.org/article/ce6b3aef0b2941349cc55c9abaf68a3d
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly. It can be widely used in the fields of visual assistance, automated security survei
Externí odkaz:
https://doaj.org/article/56cc4f1ae32544d98979747c17001998
[pt] Os documentos são essenciais para o sistema econômico e acadêmico; no entanto, explorá-los pode ser uma tarefa complexa e demorada. Uma abordagem para contornar esse problema é o uso de modelos de Visual Question and Answering (VQA) para ex
