Self-supervised audiovisual representation learning for remote sensing data

Self-supervised audiovisual representation learning for remote sensing data

Many deep learning approaches make extensive use of backbone networks pretrained on large datasets like ImageNet, which are then fine-tuned. In remote sensing, the lack of comparable large annotated datasets and the diversity of sensing platforms impedes similar developments. In order to contribute...

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Bibliographic Details
Main Authors: Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Self-supervised learning
Multi-modal learning
Representation learning
Audiovisual dataset
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843222003181

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http://www.sciencedirect.com/science/article/pii/S1569843222003181

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