To locate the installation area, DANF, a deep learning-based dual-flow aggregation network designed for curtain wall frame segmentation, is proposed. It employs Transformer for global analysis and CNNs for detailed feature extraction to handle curtain wall frame structures.
The image of the curtain wall frame is fed into a deep learning-based semantic segmentation network. After prediction, the segmentation results of the curtain wall frames are obtained.
For this binary classification task, as the target of our segmentation, the curtain wall frame has the characteristics of a large overall span but a small proportion of its area in the whole region, the positive and negative samples are unbalanced.
Compared to other models, when facing strong background sunlight (rows 1 and 2), DANF exhibits better effectiveness in the segmentation of curtain wall frame edge details. When dealing with obstructions (rows 3 and 4), DANF can use semantic information to identify the obstructions and is also superior in edge detailing.
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In the field of curtain wall construction, manual installation presents significant safety hazards and suffers from low efficiency, while automated installation is constrained by the …
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Abstract In the field of curtain wall construction, manual installation presents significant safety hazards and suffers from low efficiency, while automated installation is …
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The project is "Automatic Segmentation of Curtain Wall Frame Using a Context Collaboration Pyramid Network". This is the model file of C2PNet. Code is being updated...
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Highlights •Vision system developed to assist crane operators and robots in facade installation.•LANet: A lightweight model for real-time curtain wall frame …
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The precise positioning of curtain wall frames is a crucial step for the automated installation of curtain walls. This paper proposes a network (DANF) with a dual-flow …
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The development of deep learning has introduced an image segmentation approach that offers a new solution for the visual positioning of curtain wall frames. This paper proposes …
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Request PDF | On Jul 1, 2024, Decheng Wu and others published Automatic segmentation of curtain wall frame using a context collaboration pyramid network | Find, read and cite all the …
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To locate the installation area, DANF, a deep learning-based dual-flow aggregation network designed for curtain wall frame segmentation, is proposed. It employs Transformer for …
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