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point-supervision

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Point-supervised remote sensing semantic segmentation using PyTorch. The project implements a weakly supervised segmentation pipeline with sparse point labels, multiple point-sampling strategies, and a four-class land-cover scene classifier for cloudy, desert, green_area, and water imagery.

  • Updated Sep 14, 2026
  • Jupyter Notebook

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