Tatiana Jimenez Cardenas

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Video segmentation research is currently limited by the lack of a benchmark dataset that covers the large variety of sub problems appearing in video segmentation and that is large enough to avoid over fitting. Consequently, there is little analysis of video segmentation which generalizes across subtasks, and it is not yet clear which and how video(More)
We report here an initial study which we made about the existing segmentation benchmark metrics of [1], recently extended to video by [3]. We started processing the video sequences of the BMDS dataset [2] with a number of video segmentation algorithms and noticed inconsistencies in the ranking which the boundary precision-recall (BPR) score was providing,(More)
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