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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



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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