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Context Attention Network for Skeleton Extraction. (arXiv:2205.12066v1 [cs.CV])
May 25, 2022, 1:12 a.m. | Zixuan Huang, Yunfeng Wang, Zhiwen Chen, Xin Gao, Ruili Feng, Xiaobo Li
cs.CV updates on arXiv.org arxiv.org
Skeleton extraction is a task focused on providing a simple representation of
an object by extracting the skeleton from the given binary or RGB image. In
recent years many attractive works in skeleton extraction have been made. But
as far as we know, there is little research on how to utilize the context
information in the binary shape of objects. In this paper, we propose an
attention-based model called Context Attention Network (CANet), which
integrates the context extraction module in …
More from arxiv.org / cs.CV updates on arXiv.org
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