Embedding-Enhanced U-Net with a Patch-Based Approach and a Novel Dataset for Ground-Level Building Damage Segmentation

Lysanets A, Kosukha O, Panchenko T, Tereshchenko Y.

DOI: 10.20944/preprints202510.2032.v2
Published: 2026-01-26
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202510.2032.v2,
  title = {Embedding-Enhanced U-Net with a Patch-Based Approach and a Novel Dataset for Ground-Level Building Damage Segmentation},
  author = {Lysanets A and  Kosukha O and  Panchenko T and  Tereshchenko Y.},
  year = {2026},
  doi = {10.20944/preprints202510.2032.v2},
  url = {https://doi.org/10.20944/preprints202510.2032.v2}
}

RIS

TY  - JOUR
TI  - Embedding-Enhanced U-Net with a Patch-Based Approach and a Novel Dataset for Ground-Level Building Damage Segmentation
AU  - Lysanets A
AU  -  Kosukha O
AU  -  Panchenko T
AU  -  Tereshchenko Y.
PY  - 2026
DO  - 10.20944/preprints202510.2032.v2
UR  - https://doi.org/10.20944/preprints202510.2032.v2
ER  -

APA

A, L., O, K., T, P., & Y., T. (2026). Embedding-Enhanced U-Net with a Patch-Based Approach and a Novel Dataset for Ground-Level Building Damage Segmentation. https://doi.org/10.20944/preprints202510.2032.v2

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europe-pmc · retrieved 2026-11-10T11:09:32.670Z