Lightweight attention-aware fusion network based on state-space model for V-D-T salient object detection

Anzhi Wang, Jintao Wu, Yun Liu

Open source

DOI: 10.1016/j.neunet.2026.109578
Published: 2027-01
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109578,
  title = {Lightweight attention-aware fusion network based on state-space model for V-D-T salient object detection},
  author = {Anzhi Wang and Jintao Wu and Yun Liu},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109578},
  url = {https://doi.org/10.1016/j.neunet.2026.109578}
}

RIS

TY  - JOUR
TI  - Lightweight attention-aware fusion network based on state-space model for V-D-T salient object detection
AU  - Anzhi Wang
AU  - Jintao Wu
AU  - Yun Liu
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109578
UR  - https://doi.org/10.1016/j.neunet.2026.109578
ER  -

APA

Wang, A., Wu, J., & Liu, Y. (2027). Lightweight attention-aware fusion network based on state-space model for V-D-T salient object detection. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109578

Source records

crossref · retrieved 2026-09-26T02:47:10.413Z