# Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework

_Structural Durability & Health Monitoring · Kangping Zhu, Yuezhong Ran, Jingyao Gao et al. · 2026_

Canonical: https://diginpl.com/books/paper-sdhm-2026-088852
Last updated: 2026-10-04

## Quick facts

- **Author:** Kangping Zhu; Yuezhong Ran; Jingyao Gao; Jialu Xu; Songhan Jiang; Yang Zhang ([Crossref](https://doi.org/10.32604/sdhm.2026.088852))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/sdhm.2026.088852))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/sdhm.2026.088852))
- **Journal:** Structural Durability & Health Monitoring ([Crossref](https://doi.org/10.32604/sdhm.2026.088852))
- **DOI:** 10.32604/sdhm.2026.088852 ([Crossref](https://doi.org/10.32604/sdhm.2026.088852))

## Questions

**Who wrote Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework?**  
Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework was written by Kangping Zhu, Yuezhong Ran, Jingyao Gao, Jialu Xu.

**When was Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework first published?**  
Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/sdhm.2026.088852)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/sdhm.2026.088852.

## Cite this page

"Multi-Class Semantic Segmentation of Tunnel Lining Defects in Complex Environments Using SegFormer with an Enhanced Training Framework". DigiNepal. Last updated 4 October 2026. https://diginpl.com/books/paper-sdhm-2026-088852. Retrieved 14 November 2026.