Better interactive image segmentation for training by using edge information
Better interactive image segmentation for training by using edge information
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
arXiv paper abstract https://arxiv.org/abs/2109.09406v1
arXiv PDF paper https://arxiv.org/pdf/2109.09406v1.pdf
High-quality training data play a key role in image segmentation tasks.
Usually, pixel-level annotations are expensive, laborious and time-consuming for the large volume of training data.
... interactive segmentation methods have been proposed ... However, their performance does not meet the requirements of practical segmentation tasks in terms of speed and accuracy.
... propose EdgeFlow, a novel architecture that fully utilizes interactive information of user clicks with edge-guided flow.
... achieves state-of-the-art performance without any post-processing or iterative optimization scheme. ...
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