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Detect 133 points on face, hands, and feet in real-time by using neighborhood

Detect 133 points on face, hands, and feet in real-time by using neighborhood


Keypoint Communities

arXiv paper abstract https://arxiv.org/abs/2110.00988



... a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation.


... model all keypoints belonging to a human or an object -- the pose -- as a graph and leverage insights from community detection to quantify the independence of keypoints.


... assign training weights to different parts of a pose. ... measure quantifies how tightly a keypoint is connected to its neighborhood.


... method outperforms all previous methods for human pose estimation with fine-grained keypoint annotations on the face, the hands and the feet with a total of 133 keypoints.


... method generalizes to car poses.



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