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    <identifier>10.57760/sciencedb.09424</identifier>
    <datestamp>2025-04-10T10:52:20Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2025-04-10</dc:date>
  <dc:title>HR-UVFormer-Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.09424</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Two-level sample dataset for urban villages extraction:DenseHouse_v1: sample-level RSIDenseHouse_v2: patch-level RSIBuildingFeatures: sample-level BF4. POIFeatures: sample-level POIOthers include the pre-trained model files presented in this paper.model_data:segformer_b0_backbone_weights.pth, segformer_b3_backbone_weights.pthoutputs: The model weights used in the study fileNote: POIFeatures and BuildingFeatures need to be unpacked to the DenseHouse_v1 directory after download.</dc:description>
  <dc:subject>Two-level sample set; Pre-training network file; Urban Villages Extraction</dc:subject>
  <dc:creator>tanxin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://mit-license.org</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1109/TGRS.2024.3387022.</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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