3D Scene Segmentation: A Comprehensive Survey and Open Problems
This paper presents a detailed review of recent advancements in 3D indoor scene segmentation driven by deep learning techniques. It provides an overview of existing segmentation models, examines various data representations, data collection methods, augmentation techniques, and available datasets. A...
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| Main Authors: | Slavcho Neshev, Krasimir Tonchev, Agata Manolova, Vladimir Poulkov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11050424/ |
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