Efficient Pose and Cell Segmentation using Column Generation

2016-12-01 · Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Julian Yarkony

We study the problems of multi-person pose segmentation in natural images and instance segmentation in biological images with crowded cells. We formulate these distinct tasks as integer programs where variables correspond to poses/cells. To optimize, we propose a generic relaxation scheme for solving these combinatorial problems using a column generation formulation where the program for generating a column is solved via exact optimization of very small scale integer programs. This results in efficient exploration of the spaces of poses and cells.

📄 PDF Abstract BibTeX arXiv:1612.00437

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Cell SegmentationEfficient ExplorationInstance Segmentation Segmentation Semantic Segmentation

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