Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings

  title={Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings},
  author={Adrian Wolny and Qin Yu and Constantin Pape and Anna Kreshuk},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  • A. WolnyQin Yu A. Kreshuk
  • Published 26 March 2021
  • Computer Science
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Most state-of-the-art instance segmentation methods have to be trained on densely annotated images. While difficult in general, this requirement is especially daunting for biomedical images, where domain expertise is often required for annotation and no large public data collections are available for pre-training. We propose to address the dense annotation bottleneck by introducing a proposal-free segmentation approach based on non-spatial embeddings, which exploits the structure of the learned… 

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