A Novel CNN-ViT Model with Cascade Upsampling for Efficient Crack Segmentation.

Tibermacine A, Tibermacine IE, Kahhoul ZS, Naidji I, Rabehi A, Habib M.

Open source

DOI
10.3390/s26051667
Published
2026-03-06
Container
Sensors (Basel)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26051667,
  title = {A Novel CNN-ViT Model with Cascade Upsampling for Efficient Crack Segmentation.},
  author = {Tibermacine A and  Tibermacine IE and  Kahhoul ZS and  Naidji I and  Rabehi A and  Habib M.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26051667},
  url = {https://doi.org/10.3390/s26051667}
}

RIS

TY  - JOUR
TI  - A Novel CNN-ViT Model with Cascade Upsampling for Efficient Crack Segmentation.
AU  - Tibermacine A
AU  -  Tibermacine IE
AU  -  Kahhoul ZS
AU  -  Naidji I
AU  -  Rabehi A
AU  -  Habib M.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26051667
UR  - https://doi.org/10.3390/s26051667
ER  -

APA

A, T., IE, T., ZS, K., I, N., A, R., & M., H. (2026). A Novel CNN-ViT Model with Cascade Upsampling for Efficient Crack Segmentation.. Sensors (Basel). https://doi.org/10.3390/s26051667

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