3D Segmentation Learning From Sparse Annotations and Hierarchical Descriptors
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3088796
Abstract: One of the main obstacles to 3D semantic segmentation is the significant amount of endeavor required to generate expensive point-wise annotations for fully supervised training. To alleviate manual efforts, we propose GIDSeg, a novel approach… read more here.
Keywords: sparse annotations; annotations hierarchical; learning sparse; segmentation ... See more keywords
Fault-GSA: High Generalization 3-D Fault Detection Method Based on Sparse Annotations
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3557022
Abstract: Current methods for the intelligent interpretation of seismic faults rely heavily on complete synthetic annotations. However, the complexity and non-uniformity of field seismic data often limit the generalization of models trained solely on synthetic data.… read more here.
Keywords: detection; sparse annotations; fault detection; generalization ... See more keywords