3 accepted papers
Superpixel segmentation has been widely used in many computer vision tasks. Existing superpixel algorithms are mainly based on hand-crafted features, which often fail to preserve weak object boundaries. In this work, we leverage deep neural networks to facilitate extracting superpixels from images.…
In this paper, we review the design of Minimum Barrier Distance and propose a new path-wise distance metric called Minimum Spanning Distance (MSD). Unlike most existing distance metrics, which only define distance between two pixels on gray-scale images, the proposed distance metric conceptually est…
In this paper, we present a real-time salient object detection system based on the minimum spanning tree. Due to the fact that background regions are typically connected to the image boundaries, salient objects can be extracted by computing the distances to the boundaries. However, measuring the ima…