[D] Deep Matching Prior Network for Object Detection
I am currently reading the Deep Matching Prior Network paper. The suggested network is used to get better predictions on scene text. Instead of using rectangular bounding boxes, they apply quadrangle shapes to get better localisations of text.
I wondered if this could be applied in Object Detection algorithms, such as faster R-CNN.
Could anyone discuss in more detail why, or why not, this could be implemented and if so what the possible outcome might be?
Paper source: https://arxiv.org/abs/1703.01425