Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization

José Flich, Laura Medina, Izan Catalán, Carles Hernández, Andrea Bragagnolo, Fabrice Auzanneau, David Briand. Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization. In 2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022. pages 2491-2495, IEEE, 2022. [doi]

@inproceedings{FlichMCHBAB22,
  title = {Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization},
  author = {José Flich and Laura Medina and Izan Catalán and Carles Hernández and Andrea Bragagnolo and Fabrice Auzanneau and David Briand},
  year = {2022},
  doi = {10.1109/ICIP46576.2022.9897752},
  url = {https://doi.org/10.1109/ICIP46576.2022.9897752},
  researchr = {https://researchr.org/publication/FlichMCHBAB22},
  cites = {0},
  citedby = {0},
  pages = {2491-2495},
  booktitle = {2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9620-9},
}