Reviews: Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations

This paper describes a method for integrating visual and textual features within a self-attention-like architecture. Overall I find this to be a good paper presenting an interesting method, with comprehensive experiments demonstrating the capacity of the method to improve on a wide range of models in image captioning as well as VQA.The analysis is informative, and the supplementary materials add further comprehensiveness. My main complaint is that the paper could be clearer about the current state of the art in these tasks and how the paper's contribution relates to that state of the art. The paper apparently presents a new state-of-the-art on the COCO image captioning dataset, by integrating the proposed method with the Transformer model. It doesn't, however, report what happens if the method is integrated with the prior state-of-the-art model SGAE -- was this tried and shown not to yield improvement?