NeurIPS 2018Poster
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
作者: Medhini Narasimhan, Svetlana Lazebnik, Alexander Schwing
摘要
Accurately answering a question about a given image requires combining observations with general knowledge. While this is effortless for humans, reasoning with general knowledge remains an algorithmic challenge. To advance research in this direction a novel