Abstract:
Semantic image segmentation is a challenging problem in machine vision and mainly consists of two parts: segmenting images into coherent regions and detecting objects inside of those regions. One may think about this problem as finding a way to assign object labels to meaningful parts of an image. For example, figure 1 shows an image for VOC 2012 dataset [1] with its corresponding ground truth image of semantic segmentation.