A new fusion-based crack segmentation model using a frozen EdgeSAM encoder with gated attention reports state-of-the-art accuracy and strong zero-shot generalization on pavement datasets.
Hybrid semantic segmentation for tunnel lining cracks based on swin transformer and convolutional neural network,
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FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM
A new fusion-based crack segmentation model using a frozen EdgeSAM encoder with gated attention reports state-of-the-art accuracy and strong zero-shot generalization on pavement datasets.