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Extracting Buildings In Remote Sensing Images

Papers

Showing 114 of 14 papers

TitleStatusHype
Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing ImageryCode2
Building Extraction from Remote Sensing Images with Sparse Token TransformersCode1
Building Extraction from Remote Sensing Images via an Uncertainty-Aware NetworkCode1
DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial ImagesCode1
Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built EnvironmentCode1
Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionCode1
PolyR-CNN: R-CNN for end-to-end polygonal building outline extractionCode1
SDSC-UNet: Dual Skip Connection ViT-based U-shaped Model for Building ExtractionCode1
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite ImagesCode1
HEAT: Holistic Edge Attention Transformer for Structured ReconstructionCode1
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment0
GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images0
Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model0
SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images0
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