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Dual-Tasks Siamese Transformer Framework for Building Damage Assessment

  • Published:2022-07-17 Issue: Volume: Page:
  • ISSN:
  • Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Chen Hongruixuan1,Nemni Edoardo1,Vallecorsa Sofia2,Li Xi3,Wu Chen3,Bromley Lars1

Affiliation:

1. United Nations Institute for Training and Research (UNITAR),United Nations Satellite Centre (UNOSAT)

2. European Organization for Nuclear Research (CERN)

3. Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Publisher

IEEE

Reference13 articles.

1. Cbam: Convolutional block attention module;woo;ECCV,2018

2. The lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks;berman;CVPR,2018

3. xbd: A dataset for assessing building damage from satellite imagery;gupta;ArXiv Preprint,2019

4. Building disaster damage assessment in satellite imagery with multi-temporal fusion;weber;Arxiv Prepr,2020

5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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