SegVLM: Deformable attentive visual enhancement for referring image segmentation using vision-language model

Alaa Dalaq, Muzammil Behzad

Open source

DOI: 10.1016/j.neunet.2026.109721
Published: 2027-02
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109721,
  title = {SegVLM: Deformable attentive visual enhancement for referring image segmentation using vision-language model},
  author = {Alaa Dalaq and Muzammil Behzad},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109721},
  url = {https://doi.org/10.1016/j.neunet.2026.109721}
}

RIS

TY  - JOUR
TI  - SegVLM: Deformable attentive visual enhancement for referring image segmentation using vision-language model
AU  - Alaa Dalaq
AU  - Muzammil Behzad
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109721
UR  - https://doi.org/10.1016/j.neunet.2026.109721
ER  -

APA

Dalaq, A., & Behzad, M. (2027). SegVLM: Deformable attentive visual enhancement for referring image segmentation using vision-language model. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109721

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crossref · retrieved 2026-11-10T14:42:10.947Z