MoR-Swin: Efficient Vision Transformer Using Mixture of Recursions.

Ai Y, Gao T, Lin Z, Yang L, Chang Q

Open source

DOI
10.3390/jimaging12080377
Published
2026 Aug 12
Container
Journal of imaging
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:10.3390/jimaging12080377,
  title = {MoR-Swin: Efficient Vision Transformer Using Mixture of Recursions.},
  author = {Ai Y and Gao T and Lin Z and Yang L and Chang Q},
  year = {2026},
  journal = {Journal of imaging},
  doi = {10.3390/jimaging12080377},
  url = {https://doi.org/10.3390/jimaging12080377}
}

RIS

TY  - JOUR
TI  - MoR-Swin: Efficient Vision Transformer Using Mixture of Recursions.
AU  - Ai Y
AU  - Gao T
AU  - Lin Z
AU  - Yang L
AU  - Chang Q
PY  - 2026
JO  - Journal of imaging
DO  - 10.3390/jimaging12080377
UR  - https://doi.org/10.3390/jimaging12080377
ER  - 

APA

Y, A., T, G., Z, L., L, Y., & Q, C. (2026). MoR-Swin: Efficient Vision Transformer Using Mixture of Recursions.. Journal of imaging. https://doi.org/10.3390/jimaging12080377

Source records