Repairing co-segmentation results by consistency evaluation shows the improvement of the co-segmentation performance. However, the existing co-segmentation refinement methods focus on color feature, while the mid-level features based repairing, such as shape, is ignored. In this paper, we propose a new shape based co-segmentation refinement method. An edge map based segment completeness evaluation and a shape based segment consistency evaluation are firstly proposed. Then, we use the initial segments and their evaluation scores to refine each result by employing the object proposals. By repeating such two evaluation and refinement steps, final refined results are obtained. Compared with traditional methods where only the bad segment is repaired, all segments are simultaneously evaluated and refined in an iteration process in our method to achieve better results. We verify our method based on Icoseg dataset. The results show larger IOU values than the original results.
['Wen Shi', 'Hongyuan Zhu', 'Li Yang', 'Yuanqing Luo']
Shape based co-segmentation repairing by segment evaluation and object proposals