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Learning multi-label aerial image classification under label noise: a regularization approach using word embeddings

Hua, Yuansheng and Lobry, Sylvain and Mou, LiChao and Tuia, Devis and Zhu, Xiao Xiang (2020) Learning multi-label aerial image classification under label noise: a regularization approach using word embeddings. IGARSS 2020, 2020-09-26 - 2020-10-02, Waikoloa, Hawaii. doi: 10.1109/igarss39084.2020.9324069.

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Item URL in elib:https://elib.dlr.de/139197/
Document Type:Conference or Workshop Item (Poster)
Title:Learning multi-label aerial image classification under label noise: a regularization approach using word embeddings
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hua, YuanshengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lobry, SylvainWageningen University & Research, GeoInformation Science and Remote Sensing, WageningenUNSPECIFIEDUNSPECIFIED
Mou, LiChaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tuia, DevisWageningen University & Research, GeoInformation Science and Remote Sensing, WageningenUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/igarss39084.2020.9324069
Page Range:pp. 1-4
Status:Published
Keywords:noisy labels, regularization, label correlations, multi-label classification, deep neural networks
Event Title:IGARSS 2020
Event Location:Waikoloa, Hawaii
Event Type:international Conference
Event Start Date:26 September 2020
Event End Date:2 October 2020
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:07 Dec 2020 11:39
Last Modified:24 Apr 2024 20:40

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