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CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models.

Maosu LiAnthony G. O. YehFan Xue
Published in: Urban Inform. (2024)
Keyphrases
  • hong kong
  • high density
  • photorealistic
  • high quality
  • information extraction
  • semantic segmentation
  • feature space
  • d objects
  • natural images
  • spatial information
  • data center
  • superpixels