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Building Damage Assessment

Predicting building damage levels from earth observation data

Papers

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Showing 1–10 of 32 papers

TitleStatusHype
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space ModelCode4
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
Change3D: Revisiting Change Detection and Captioning from A Video Modeling PerspectiveCode2
Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage MappingCode1
Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionCode1
Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite ImagesCode1
Fully convolutional Siamese neural networks for buildings damage assessment from satellite imagesCode1
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite ImagesCode1
Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal FusionCode1
xBD: A Dataset for Assessing Building Damage from Satellite ImageryCode1
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