Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.

Fan Y, Lu T, Li S

DOI: 10.1109/tip.2026.3744688
Published: 2026
Container: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tip.2026.3744688,
  title = {Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.},
  author = {Fan Y and Lu T and Li S},
  year = {2026},
  journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  doi = {10.1109/tip.2026.3744688},
  url = {https://doi.org/10.1109/tip.2026.3744688}
}

RIS

TY  - JOUR
TI  - Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.
AU  - Fan Y
AU  - Lu T
AU  - Li S
PY  - 2026
JO  - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DO  - 10.1109/tip.2026.3744688
UR  - https://doi.org/10.1109/tip.2026.3744688
ER  -

APA

Y, F., T, L., & S, L. (2026). Global-to-Local Hierarchical Representation Learning for Maritime Vessel Re-Identification.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2026.3744688

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pubmed · retrieved 2026-11-10T09:40:31.732Z