KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning

arXiv — cs.CV•Friday, October 31, 2025 at 4:00:00 AM

The introduction of KARMA, or Kolmogorov-Arnold Representation Mapping Architecture, marks a significant advancement in the field of structural defect segmentation in civil infrastructure. This innovative approach addresses the challenges posed by variable defect appearances and harsh imaging conditions, while also tackling the issue of class imbalance. Unlike traditional deep learning methods that require extensive parameters, KARMA offers a more efficient solution, making it suitable for real-time inspection systems. This development is crucial as it enhances the ability to maintain and ensure the safety of infrastructure.

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