Recurrent Topic-Transition GAN for Visual Paragraph Generation
Recurrent Topic-Transition GAN for Visual Paragraph Generation
A natural image usually conveys rich semantic content and can be viewed from different angles. Existing image description methods are largely restricted by small sets of biased visual paragraph annotations, and fail to cover rich underlying semantics. In this paper, we investigate a semi-supervised paragraph generative framework that is able …