Mamba meets crack segmentation

Understand

Cracks pose safety risks to infrastructure and cannot be overlooked.

• The prevailing structures in existing crack segmentation networks predominantly consist of CNNs or Transformers.
• However, CNNs exhibit a deficiency in global modeling capability, hindering the representation to entire crack features.
• Transformers can capture long-range dependencies but suffer from high and quadratic complexity.