Recurrent Relational Memory Network for Unsupervised Image Captioning

IJCAI 2020, pp. 920-926, 2020.

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This paper proposes a novel recurrent relational memory network for unsupervised image captioning with low cost of supervision

Abstract:

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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