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 …

The artificial neural network (ANN)–a machine learning technique inspired by the human
neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …

Recent progress on visual question answering has explored the merits of grid features for
vision language tasks. Meanwhile, transformer-based models have shown remarkable …

Recent progress on fine-grained visual recognition and visual question answering has
featured Bilinear Pooling, which effectively models the 2nd order interactions across multi …

Attention mechanisms are now widely used in image captioning models. However, most
attention models only focus on visual features. When generating syntax related words, little …

Problems at the intersection of vision and language are of significant importance both as
challenging research questions and for the rich set of applications they enable. However …

Despite progress in perceptual tasks such as image classification, computers still perform
poorly on cognitive tasks such as image description and question answering. Cognition is …

Automatically describing the content of an image is a fundamental problem in artificial
intelligence that connects computer vision and natural language processing. In this paper …

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 …

We propose the task of free-form and open-ended Visual Question Answering (VQA). Given
an image and a natural language question about the image, the task is to provide an …