Yuan, Zhenghang and Mou, LiChao and Zhu, Xiao Xiang (2022) Change-Aware Visual Question Answering. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 227-230. IGARSS 2022, Virtual. doi: 10.1109/IGARSS46834.2022.9884801.
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Official URL: https://ieeexplore.ieee.org/document/9884801
Item URL in elib: | https://elib.dlr.de/186915/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | Change-Aware Visual Question Answering | ||||||||||||||||
Authors: |
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Date: | 22 June 2022 | ||||||||||||||||
Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
DOI: | 10.1109/IGARSS46834.2022.9884801 | ||||||||||||||||
Page Range: | pp. 227-230 | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | visual question answering (VQA), change detection, aerial images, natural language, deep learning | ||||||||||||||||
Event Title: | IGARSS 2022 | ||||||||||||||||
Event Location: | Virtual | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
HGF - Program: | Space | ||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||
DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||
Deposited By: | Hua, Yuansheng | ||||||||||||||||
Deposited On: | 22 Jun 2022 09:29 | ||||||||||||||||
Last Modified: | 13 Jan 2023 18:42 |
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