Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks-Reference-Cited by-同舟云学术

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Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Berg Paul¹^ORCID,Uzun Baki¹,Pham Minh-Tan¹^ORCID,Courty Nicolas¹^ORCID

Affiliation:

1. Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), UMR 6074, Université Bretagne Sud, Vannes, France

Funder

ANR AI Chair OTTOPIA

HPC Resources from GENCI-IDRIS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10496587.pdf?arnumber=10496587

Reference20 articles.

1. Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

2. Deep learning in remote sensing applications: A meta-analysis and review

3. Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

4. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

5. Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insight into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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