Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node

V. R. S. Mani, A. Saravanaselvan, N. Arumugam. Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node. Microelectronics Journal, 119:105319, 2022. [doi]

@article{ManiSA22,
  title = {Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node},
  author = {V. R. S. Mani and A. Saravanaselvan and N. Arumugam},
  year = {2022},
  doi = {10.1016/j.mejo.2021.105319},
  url = {https://doi.org/10.1016/j.mejo.2021.105319},
  researchr = {https://researchr.org/publication/ManiSA22},
  cites = {0},
  citedby = {0},
  journal = {Microelectronics Journal},
  volume = {119},
  pages = {105319},
}