Karl1109/SCSegamba
[CVPR 2025] SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
This project helps structural engineers and maintenance professionals automatically identify and map cracks in infrastructure from images or videos. You input visual data of structures, and it outputs detailed, pixel-level maps highlighting exactly where cracks are located. This is ideal for inspectors assessing the condition of bridges, buildings, roads, or other critical infrastructure.
243 stars.
Use this if you need a fast, accurate, and resource-efficient way to pinpoint cracks in structural images or videos for condition monitoring and maintenance planning.
Not ideal if your primary goal is crack classification (e.g., categorizing crack types) rather than precise pixel-level segmentation.
Stars
243
Forks
21
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 27, 2025
Commits (30d)
0
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