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| Published in: | Foundations of Computing and Decision Sciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1868553620238106625 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Foundations of Computing and Decision Sciences |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78150 |
| institution | FRELIP |
| journal_source_facet | Foundations of Computing and Decision Sciences |
| last_indexed | 2026-06-20T21:39:56.259Z |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_alt | Generación de Datos de Entrenamiento Libre de Anotaciones Usando Dominios Mixtos para Segmentación de Nubes de Puntos LiDAR 3D Génération sans annotation de données d'entraînement utilisant des domaines mixtes pour la segmentation de nuages de points LiDAR 3D Geração de Dados de Treinamento Livre de Anotação Usando Domínios Mistos para Segmentação de Nuvens de Pontos LiDAR 3D |
| title_auth | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_es_txt | Generación de Datos de Entrenamiento Libre de Anotaciones Usando Dominios Mixtos para Segmentación de Nubes de Puntos LiDAR 3D |
| title_fr_txt | Génération sans annotation de données d'entraînement utilisant des domaines mixtes pour la segmentation de nuages de points LiDAR 3D |
| title_full | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_fullStr | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_full_unstemmed | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_pt_txt | Geração de Dados de Treinamento Livre de Anotação Usando Domínios Mistos para Segmentação de Nuvens de Pontos LiDAR 3D |
| title_short | Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds |
| title_sort | annotation-free generation of training data using mixed domains for segmentation of 3d lidar point clouds |
| topic | Computer Science General Computer Science |
| url | https://sciendo.com/article/10.2478/fcds-2025-0013 |