2021
DOI: 10.1109/access.2021.3114223
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α-MeanShift++: Improving MeanShift++ for Image Segmentation

Abstract: MeanShift is one of the popular clustering algorithms and can be used to partition a digital image into semantically meaningful regions in an unsupervised manner. However, due to its prohibitively high computational complexity, a grid-based approach, called MeanShift++, has recently been proposed and succeeded to surprisingly reduce the computational complexity of MeanShift. Nevertheless, we found that MeanShift++ still has computational redundancy and there is room for improvement in terms of accuracy and run… Show more

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Cited by 5 publications
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