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March 3, 2026Scientific Reports0 citationsOpen Access

Deep learning for construction waste detection using ConvNeXt V2 EMA attention and WIoU v3 loss

DHDong HanMMMing MaXLXiao Li

Key Points

  • Enhanced accuracy in waste detection was achieved using ConvNeXt V2 attention mechanism.
  • The model reached an accuracy of 92.3% on the test data, highlighting its effectiveness.
  • Evaluation utilized deep learning techniques with WIoU v3 loss to improve performance metrics.
  • This approach may enable more efficient waste management practices, benefiting construction processes.
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Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/69a75bdcc6e9836116a23f14https://doi.org/10.1038/s41598-026-37473-3
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