Object detection plays an important role in current solutions to vision and language tasks like image captioning and visual question answering.
popular models like Faster R-CNN rely on a costly process of annotating ground-truths for both the bounding boxes and their corresponding semantic labels, making it less amenable as a primitive task for transfer learning.