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We present an algorithm for learning a feature representation for video segmentation. Standard video segmentation algorithms utilize similarity measurements in order to group related pixels. The contribution of our paper is an unsupervised method for learning the feature representation used for this similarity. The feature representation is defined over video supervoxels. An embedding framework learns...
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