EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

Cite

Text

Maaz et al. "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25082-8_1

Markdown

[Maaz et al. "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/maaz2022eccvw-edgenext/) doi:10.1007/978-3-031-25082-8_1

BibTeX

@inproceedings{maaz2022eccvw-edgenext,
  title     = {{EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications}},
  author    = {Maaz, Muhammad and Shaker, Abdelrahman M. and Cholakkal, Hisham and Khan, Salman H. and Zamir, Syed Waqas and Anwer, Rao Muhammad and Khan, Fahad Shahbaz},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {3-20},
  doi       = {10.1007/978-3-031-25082-8_1},
  url       = {https://mlanthology.org/eccvw/2022/maaz2022eccvw-edgenext/}
}