Few-shot Learning for Post-disaster Structure Damage Assessment-Reference-Cited by-同舟云学术

Few-shot Learning for Post-disaster Structure Damage Assessment

Published:2021-11-02 Issue: Volume: Page:
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Container-title:Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
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Author:

Bowman Jordan¹,Yang Lexie¹

Affiliation:

1. GeoAI Group Oak Ridge National Laboratory, Oak Ridge, TN, United States

Funder

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3486635.3491071

Reference10 articles.

1. Ritwik Gupta Richard Hosfelt Sandra Sajeev Nirav Patel Bryce Goodman Jigar Doshi Eric Heim Howie Choset and Matthew Gaston. 2019. xBD: A Dataset for Assessing Building Damage from Satellite Imagery. arXiv:1911.09296 [cs.CV] Ritwik Gupta Richard Hosfelt Sandra Sajeev Nirav Patel Bryce Goodman Jigar Doshi Eric Heim Howie Choset and Matthew Gaston. 2019. xBD: A Dataset for Assessing Building Damage from Satellite Imagery. arXiv:1911.09296 [cs.CV]

2. Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks

3. Few-Shot Object Detection via Feature Reweighting

4. Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning

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