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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 10 vom: 02. Sept., Seite 7184-7195
|
|---|
| 1. Verfasser: |
Tu, Zhikun
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Zhang, Yuhe,
Jia, Yiou,
Li, Kang,
Cohen-Or, Daniel |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2025
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
|
|---|
| Schlagworte: | Journal Article |
|---|