Motivating applications for weakly supervised learning

Hi all,

Currently I am in process of writing my PhD proposal. I plan to work on weakly supervised methods for a big data. So far I extensively studied semantic image segmentation problem. Typically, for this problem only little amount of fully-annotated images are available and most of images have only weak supervision such as object bounding boxes.

I am curious whether anybody can suggest more applications for weakly supervised methods.