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SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images

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xdu-jjgs/SA-MixNet-for-Scribble-based-Road-Extraction

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SA-MixNet

  1. First, pip install opencv-python == 4.6.0.66 and replace the \anaconda3\envs\pytorch\Lib\site-packages\skimage\segmentation\slic_superpixels.py by the slic_superpixels.py in this repository, to get Road Seed Guided SLIC.
  2. Run road_label_propagation.py to generate proposal masks.
  3. Run train_mix_D.py for training and run test.py for testing.

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SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images

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