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...
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2025) vom: 17. Feb. |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2025
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Accès à la collection: | IEEE transactions on visualization and computer graphics |
Sujets: | Journal Article |
Accès en ligne |
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