构建40万级建筑图符号数据集，提升设计自动化水平
ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
- 用自动生成标注技术构建大规模CAD数据集
- 新模型在41万图块上实现领先检测性能
- 适合建筑智能设计与施工数字化研究者
识别建筑CAD图纸中的符号对诸多工程应用至关重要。本文提出一种新型CAD数据标注引擎，利用系统化归档图纸的内在属性，自动生成高质量标注，显著降低人工标注成本。基于该引擎，我们构建了ArchCAD-400K数据集，包含来自5538张高度标准化图纸的413,062个图块，规模超过现有最大CAD数据集的26倍。该数据集覆盖更广的图纸类型与更细粒度的标注类别。此外，我们提出一种新的全景符号定位基线模型——双路径符号检测器（DPSS），通过自适应融合模块增强原始特征与图像特征的互补性，实现当前最优性能并提升鲁棒性。大量实验验证了DPSS的有效性，证明了ArchCAD-400K的价值及其在建筑设计与施工智能化中的潜力。
原文摘要 · Abstract (English)
Recognizing symbols in architectural CAD drawings is critical for various advanced engineering applications. In this paper, we propose a novel CAD data annotation engine that leverages intrinsic attributes from systematically archived CAD drawings to automatically generate high-quality annotations, thus significantly reducing manual labeling efforts. Utilizing this engine, we construct ArchCAD-400K, a large-scale CAD dataset consisting of 413,062 chunks from 5538 highly standardized drawings, making it over 26 times larger than the largest existing CAD dataset. ArchCAD-400K boasts an extended drawing diversity and broader categories, offering line-grained annotations. Furthermore, we present a new baseline model for panoptic symbol spotting, termed Dual-Pathway Symbol Spotter (DPSS). It incorporates an adaptive fusion module to enhance primitive features with complementary image features, achieving state-of-the-art performance and enhanced robustness. Extensive experiments validate the effectiveness of DPSS, demonstrating the value of ArchCAD-400K and its potential to drive innovation in architectural design and construction.
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