A global satellite-image dataset for roof material classification is introduced, but the dataset behind its reported accuracy results has been removed due to licensing constraints.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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CheXanatomy trains VLMs to generate 2D anatomical masks via next-token prediction on synthetic CXRs from CT, matching U-Net performance with better domain-shift robustness and sample efficiency.
citing papers explorer
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RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation
A global satellite-image dataset for roof material classification is introduced, but the dataset behind its reported accuracy results has been removed due to licensing constraints.
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CheXanatomy: Anatomy-Aware Vision-Language Modeling for Chest Radiographs
CheXanatomy trains VLMs to generate 2D anatomical masks via next-token prediction on synthetic CXRs from CT, matching U-Net performance with better domain-shift robustness and sample efficiency.