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Meftahul Ferdaus on Muck Rack

Meftahul Ferdaus

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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Meftahul Ferdaus, Anton Netchaev, Steven Sloan Verified
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2510.05266] Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation

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By Meftahul Ferdaus, Christian Guetl, Steven Sloan Verified, Kendall N. Niles
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (681) Issue with article?

FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks

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By Meftahul Ferdaus, Steven Sloan Verified, Kendall N. Niles, Christian Guetl
| arXiv
[Submitted on 16 Jul 2025] Title:FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks View a PDF of the paper titled FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks, by Christina Thrainer and 6 other authors View PDF HTML (experimental) Abstract:Automated structural defect segmentation in civil infrastructure...
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