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With boundary uncertainty maps and original input images, we retrain the U-Net for that fine segmentation of focus on objects and might obtain a far better performance, compared to its coarse segmentation general performance.
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The segmentation success had been then proposed to Identify a possible boundary region for each item, which was combined with the first illustrations or photos to the fine segmentation on the objects. We validated the created process on two public datasets (
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