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[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

submitted by /u/thomas_ver
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.