Recurrent Relational Memory Network for Unsupervised Image Captioning
IJCAI 2020, pp. 920-926, 2020.
This paper proposes a novel recurrent relational memory network for unsupervised image captioning with low cost of supervision
Unsupervised image captioning with no annotations is an emerging challenge in computer vision, where the existing arts usually adopt GAN (Generative Adversarial Networks) models. In this paper, we propose a novel memory-based network rather than GAN, named Recurrent Relational Memory Network ($R^2M$). Unlike complicated and sensitive ad...More
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