Multi-instance Object Segmentation with Occlusion Handling
Yi-Ting Chen1 Xiaokai Liu1;2 Ming-Hsuan Yang1
University of California at Merced1 Dalian University of Technology2
来源CVPR2015
名词:intersection-over-union (IoU)
两个图像的重合部分面积与合并面积之比,反映两幅图像的形状重合度
本文使用SDS算法[1]。
SDS算法主要分为4步:
(1)通过MCG[2]方法生成基于像素的分割。
(2)通过R-CNN[3]进行图像形状的分割和预测
(3)通过Box CNN结合Region CNN进行分类
(4)性能优化
参考文献:
[1] B. Hariharan, P. Arbel´aez, R. Girshick, and J. Malik. Simultaneous detection and segmentation. In ECCV, 2014.
[2] P. Arbel´aez, J. Pont-Tuset, J. T. Barron, F. Marques, and J. Malik. ultiscale combinatorial grouping. In CVPR, 2014.
[3] R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.

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