论文研究 arXiv cs.CV Mon, 20 Jul 2026 正文 thin 4 words

Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark

英文标题:Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark

arXiv:2607.15331v1 Announce Type: new Abstract: Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time and a set of novel classes. The state of the art reaches novel classes by reconciling a dense but noisy 3D vision-l
打开原文相关 1.6 · 机会 0
media2.1 KB media612 B media380 B media9.1 KB media32.7 KB media22.8 KB media24.2 KB media34.7 KB

中文

arXiv:2607.15331v1 Announce Type: new Abstract: Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time and a set of novel classes. The state of the art reaches novel classes by reconciling a dense but noisy 3D vision-l

中文全文翻译正在补齐,可先查看下方英文原文。

English / 原文

BibTeX formatted citation

×