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Updated: May 6, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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SHARP-WasteSeg:一种形状意识的方法,用于实时细分来自杂乱的建筑和拆除废弃物中的可回收材料

Vineet Prasad1, Mehrdad Arashpour1

  • 1Department of Civil Engineering, Monash University, Melbourne, VIC 3800, Australia.

Waste management (New York, N.Y.)
|February 10, 2025
PubMed
概括

本研究介绍了ShARP-WasteSeg,这是一个用于精确废物细分的新型框架. 它提高了识别复杂建筑和拆除废弃物物体的准确性,即使它们杂乱或重叠.

关键词:
人工智能的人工智能是人工智能.质量的边界质量建筑和拆除废弃物的废弃物.实例细分是指实例的细分.可回收的物品可以回收.形状的意识 - 形状的意识.

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