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Lang3DSeg: Annotation-Free Open-Vocabulary 3D Segmentation with Point Transformers
Accurate 3D semantic perception is critical for safe autonomous navigation. However, supervised LiDAR segmentation remains tied to closed taxonomies and to the cost of point-wise manual annotation. Open-vocabulary methods avoid that cost by projecting the output of 2D vision-language models onto LiD
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