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Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
March 21, 2024, 4:45 a.m. | Junjie Chen, Jiebin Yan, Yuming Fang, Li Niu
cs.CV updates on arXiv.org arxiv.org
Abstract: Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. Existing methods only rely on the features extracted at support keypoints to predict or refine the keypoints on query image, but a few support feature vectors are local and inadequate for CAPE. Considering that human can quickly perceive potential keypoints of arbitrary objects, we propose a novel framework for CAPE based on such potential keypoints (named …
abstract arxiv cs.cv feature features image images meta query refine support type vectors
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