Image parsing is among the core tasks in the field of computer vision. The automatic pixel-wise segmentation offers great potential in terms of application adaptability. Traditional convolutional networks have produced better segmentation maps however the research is continued for integration of context information with neural network approaches. In this paper, we propose an image parsing framework that explores the traditional convolutions in fully convolutional networks and learns rich semantic contextual inform…