One Shot Learning for Edge Detection on Point Clouds

Each scanner possesses its unique characteristics and exhibits its distinct sampling error distribution. Training a network on a dataset that includes data collected from different scanners is less effective than training it on data specific to a single scanner. Therefore, we present a novel one-sho...

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Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - PP(2025) vom: 17. Feb.
Auteur principal: Tu, Zhikun (Auteur)
Autres auteurs: Zhang, Yuhe, Jia, Yiou, Li, Kang, Cohen-Or, Daniel
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article