Deep Learning with Weak Supervision for Disaster Scene Description in Low-Altitude Imagery-Reference-Cited by-同舟云学术

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Deep Learning with Weak Supervision for Disaster Scene Description in Low-Altitude Imagery

Published:2021 Issue: Volume: Page:1-1
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Presa-Reyes Maria,Tao Yudong,Chen Shu-Ching,Shyu Mei-Ling

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/4358825/09620072.pdf?arnumber=9620072

Cited by 5 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. SAM-Induced Pseudo Fully Supervised Learning for Weakly Supervised Object Detection in Remote Sensing Images;Remote Sensing;2024-04-26

2. A UAV-Assisted Edge Framework for Real-Time Disaster Management;IEEE Transactions on Geoscience and Remote Sensing;2023

3. Ensemble Multifeatured Deep Learning Models and Applications: A Survey;IEEE Access;2023

4. Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos;2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR);2022-08

5. Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data;Computational Intelligence and Neuroscience;2022-06-13

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