Automatically describing an image with a natural language has been an emerging
challenge in both fields of computer vision and natural language processing. In this paper …

Image captioning often requires a large set of training image-sentence pairs. In practice,
however, acquiring sufficient training pairs is always expensive, making the recent …

It is always well believed that modeling relationships between objects would be helpful for
representing and eventually describing an image. Nevertheless, there has not been …

Abstract We propose" Areas of Attention", a novel attention-based model for automatic
image captioning. Our approach models the dependencies between image regions, caption …

We present an image caption system that addresses new challenges of automatically
describing images in the wild. The challenges include generating high quality caption with …

Attribute-based approaches and attention-based approaches have been proven to be
effective in image captioning. However, most attribute-based approaches simply predict …

Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …

Image captioning is a challenging problem owing to the complexity in understanding the
image content and diverse ways of describing it in natural language. Recent advances in …

Image captioning is an important problem in artificial intelligence, related to both computer
vision and natural language processing. There are two main problems in existing methods …

While recent deep neural network models have achieved promising results on the image
captioning task, they rely largely on the availability of corpora with paired image and …