Feature Enhanced Projection Network for Zero-shot Semantic Segmentation
Hongchao Lu,Longwei Fang,Matthieu Lin,Zhidong Deng,Hongchao Lu,Longwei Fang,Matthieu Lin,Zhidong Deng
In environmental perception of autonomous driving, zero-shot semantic segmentation that can make prediction of new categories without using any labeled training samples is considered as a challenging task. One key step in this task is to transfer knowledge across categories via auxiliary semantic word embeddings. In this paper, we propose a feature enhanced projection network (FEPNet) that takes f...
