Perceptually Inspired Layout-Aware Losses for Image Segmentation

@inproceedings{Osokin2014PerceptuallyIL,
  title={Perceptually Inspired Layout-Aware Losses for Image Segmentation},
  author={Anton Osokin and Pushmeet Kohli},
  booktitle={ECCV},
  year={2014}
}
Interactive image segmentation is an important computer vision problem that has numerous real world applications. Models for image segmentation are generally trained to minimize the Hamming error in pixel labeling. The Hamming loss does not ensure that the topology/structure of the object being segmented is preserved and therefore is not a strong indicator of the quality of the segmentation as perceived by users. However, it is still ubiquitously used for training models because it decomposes… CONTINUE READING
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