An improved attention guided convolutional neural network and transformer hybrid model for emotion classification in traditional Chinese paintings

Xiao Han

Open source

DOI: 10.1038/s41598-026-52522-7
Published: 2026-05-21
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52522-7,
  title = {An improved attention guided convolutional neural network and transformer hybrid model for emotion classification in traditional Chinese paintings},
  author = {Xiao Han},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-52522-7},
  url = {https://doi.org/10.1038/s41598-026-52522-7}
}

RIS

TY  - JOUR
TI  - An improved attention guided convolutional neural network and transformer hybrid model for emotion classification in traditional Chinese paintings
AU  - Xiao Han
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-52522-7
UR  - https://doi.org/10.1038/s41598-026-52522-7
ER  -

APA

Han, X. (2026). An improved attention guided convolutional neural network and transformer hybrid model for emotion classification in traditional Chinese paintings. Scientific Reports. https://doi.org/10.1038/s41598-026-52522-7

Source records

crossref · retrieved 2026-11-04T12:05:47.415Z