Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism

Mengyuan Zhang

Open source

DOI: 10.1371/journal.pone.0353505
Published: 2026-07-24
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0353505,
  title = {Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism},
  author = {Mengyuan Zhang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0353505},
  url = {https://doi.org/10.1371/journal.pone.0353505}
}

RIS

TY  - JOUR
TI  - Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism
AU  - Mengyuan Zhang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0353505
UR  - https://doi.org/10.1371/journal.pone.0353505
ER  -

APA

Zhang, M. (2026). Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism. PLOS One. https://doi.org/10.1371/journal.pone.0353505

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crossref · retrieved 2026-11-09T10:26:58.108Z