LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones

Moritz Nottebaum, Matteo Dunnhofer, Christian Micheloni. LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, AZ, USA, February 26 - March 6, 2025. pages 7008-7018, IEEE, 2025. [doi]

@inproceedings{NottebaumDM25,
  title = {LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones},
  author = {Moritz Nottebaum and Matteo Dunnhofer and Christian Micheloni},
  year = {2025},
  doi = {10.1109/WACV61041.2025.00681},
  url = {https://doi.org/10.1109/WACV61041.2025.00681},
  researchr = {https://researchr.org/publication/NottebaumDM25},
  cites = {0},
  citedby = {0},
  pages = {7008-7018},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, AZ, USA, February 26 - March 6, 2025},
  publisher = {IEEE},
  isbn = {979-8-3315-1083-1},
}