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
arXiv PDF paper https://arxiv.org/pdf/2110.00988.pdf
... 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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