Semantic segmentation is a task that covers most of the perception needs intelligent vehicles in an unified way. Recent studies witnessed attention mechanisms achieve impressive performance computer vision task. Current based methods differ with each other position and form mechanism, perform differently practice. This paper firstly introduces effectiveness multi-scale context features tasks. W...

In this study, the authors propose a computational cognitive model for sign language (SL) perception and comprehension with detailed algorithmic descriptions based on functionalities in human processing. The semantic network (SNM) that represents relations between concepts is used as form of knowledge representation. proposed applied classifier predicates. spreading activation search method ini...