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PointCloud-Text Matching: Benchmark Datasets and a Baseline
March 29, 2024, 4:45 a.m. | Yanglin Feng, Yang Qin, Dezhong Peng, Hongyuan Zhu, Xi Peng, Peng Hu
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we present and study a new instance-level retrieval task: PointCloud-Text Matching~(PTM), which aims to find the exact cross-modal instance that matches a given point-cloud query or text query. PTM could be applied to various scenarios, such as indoor/urban-canyon localization and scene retrieval. However, there exists no suitable and targeted dataset for PTM in practice. Therefore, we construct three new PTM benchmark datasets, namely 3D2T-SR, 3D2T-NR, and 3D2T-QA. We observe that the data …
abstract arxiv benchmark cloud cs.ai cs.cv datasets however instance localization modal paper point-cloud query retrieval study text type urban
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