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强大的引用图像分割用于建筑和拆除废弃物识别

Jun He1, Tao Jiang1, Sunyan Hong1

  • 1School of Information Engineering, Kunming University, Kunming 650214, China; Yunnan Key Laboratory of Intelligent Logistics Equipment and Systems, Kunming 650214, China.

Waste management (New York, N.Y.)
|November 18, 2025
PubMed
概括

本研究介绍了RefSegformer-CDW,这是一个强大的自动化建筑和拆除废物 (CDW) 分类系统. 它通过拒绝无效命令显著提高准确性,提高回收效率.

关键词:
自动化废物分类系统图像细分 图像细分语言与视觉的融合立即强大的稳固性废物管理 废物管理

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Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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