A trace of what done day by day with references and resources.
Some proof of concepts written in Python, and model architecture.
A description of datasets used as input for the model.
A summary of read papers with their scores mainly on Flickr30k and ReferIt datasets for the weakly-supervised visual-textual grounding task.
A detailed log of all experiments performed on our model.