Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolutio...
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-base...
Self-attention networks have revolutionized natural language processing and are making impressive strides in image analysis tasks such as image classification and object detecti...
We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a larg...
h-index: Number of publications with at least h citations each.