LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion.

Hu X, Liu P, Wang X, Wu P, Tang R

Open source

DOI
10.1186/s42492-025-00190-1
Published
2025 Apr 16
Container
Visual computing for industry, biomedicine, and art
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s42492-025-00190-1,
  title = {LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion.},
  author = {Hu X and Liu P and Wang X and Wu P and Tang R},
  year = {2025},
  journal = {Visual computing for industry, biomedicine, and art},
  doi = {10.1186/s42492-025-00190-1},
  url = {https://doi.org/10.1186/s42492-025-00190-1}
}

RIS

TY  - JOUR
TI  - LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion.
AU  - Hu X
AU  - Liu P
AU  - Wang X
AU  - Wu P
AU  - Tang R
PY  - 2025
JO  - Visual computing for industry, biomedicine, and art
DO  - 10.1186/s42492-025-00190-1
UR  - https://doi.org/10.1186/s42492-025-00190-1
ER  - 

APA

X, H., P, L., X, W., P, W., & R, T. (2025). LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion.. Visual computing for industry, biomedicine, and art. https://doi.org/10.1186/s42492-025-00190-1

Source records