DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
IEEE Transactions on Medical Imaging(2017)
摘要
In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled weak annotations, in our case bounding boxes. It extends the approach of the well-known GrabCut[1] method to include machine learning by training a neural network classifier from bounding box annotations. We formulate the problem as an energy minimisation problem over a densely-conn...
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关键词
Image segmentation,Training,Object segmentation,Biological neural networks,Optimization,Computational modeling,Imaging
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