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Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming.

Junfeng GaoWenzhi LiaoDavid NuyttensPeter LootensErik AlexanderssonJan G. Pieters
Published in: CoRR (2022)
Keyphrases
  • semantic segmentation
  • image data
  • high resolution
  • street scenes
  • superpixels
  • image processing
  • object recognition
  • feature space
  • co occurrence
  • conditional random fields
  • weakly supervised
  • label transfer