Mapping method between image and natural sentence
Su Mei Xi, Qian Gao, Young Im Cho · 2013
In this paper we espouse to build a scoring procedure that evaluates the similarity between a sentence and an image. This approach is attractive, because it is symmetric: given an image (resp. sentence), one can search for the best sentence (resp. image) in a large set. Furthermore, because the learning cost is independent from the amount of data, the system has scalability, which makes it useful with large-scale data.