Paper behind Keypoint R-CNN implementation in torchvision

vision
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Hi team,
I can’t seem to find the paper behind the Keypoint R-CNN implementation in torchvision.
I’d like to better understand and study the architecture and I was looking for some support in the literature, please.
Is it, actually, just the Mask R-CNN paper :slight_smile: ?
They mention Keypoints Detection in their work.

Thanks

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The initial PR to create the Keypoint R-CNN was this one, where mask_rcnn.py was split into different files by @fmassa.
Based on this I assume the Mask R-CNN paper was the base of these implementations, but let’s see what Francisco says.

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