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An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems.

Weixuan SunZheyuan LiuYanhao ZhangYiran ZhongNick Barnes
Published in: CoRR (2023)
Keyphrases
  • weakly supervised
  • semantic segmentation
  • probabilistic model
  • topic models
  • d objects
  • single image
  • superpixels