Interpretability-Driven Crack Segmentation Using Attention-Guided Segmentation and Deep Residual Learning.

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Nayak, Lipsa and Joseph, James (2026) Interpretability-Driven Crack Segmentation Using Attention-Guided Segmentation and Deep Residual Learning. In: International Conference on Intelligent Computing and Communication(ICICC).

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Interpretability-Driven Crack Segmentation Using Attention-Guided Segmentation and Deep Residual Learning. _ Springer Nature Link.pdf
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Official URL: https://doi.org/10.1007/978-3-032-18349-1

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computer Applications > Computer Architecture
Domains:	Computer Applications
Depositing User:	Mr IR Admin
Date Deposited:	21 Jul 2026 05:09
Last Modified:	21 Jul 2026 05:12
URI:	https://ir.vistas.ac.in/id/eprint/19837

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