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Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

Tianle ChenZheda MaiRuiwen LiWei-Lun Chao
Published in: CoRR (2023)
Keyphrases
  • semantic segmentation
  • weakly supervised
  • conditional random fields
  • superpixels
  • learning algorithm
  • pairwise
  • semi supervised
  • graphical models
  • relation extraction