OPTNet adds a learnable ordering module with self-supervised loss to Point Transformers for improved efficiency and accuracy in post-disaster 3D semantic segmentation on the 3DAeroRelief dataset.
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A survey providing an overview of publicly available image-based datasets for ML/DL-based disaster management pipelines covering pre-disaster, during, and post-disaster phases.
citing papers explorer
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OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
OPTNet adds a learnable ordering module with self-supervised loss to Point Transformers for improved efficiency and accuracy in post-disaster 3D semantic segmentation on the 3DAeroRelief dataset.
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Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications
A survey providing an overview of publicly available image-based datasets for ML/DL-based disaster management pipelines covering pre-disaster, during, and post-disaster phases.