Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss

Muhammad Aasharib Nawshad, Muhammad Moazam Fraz. Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss. In Wei Qi Yan 0001, Minh Nguyen 0001, Martin Stommel, editors, Image and Vision Computing - 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24-25, 2022, Revised Selected Papers. Volume 13836 of Lecture Notes in Computer Science, pages 345-360, Springer, 2022. [doi]

@inproceedings{NawshadF22,
  title = {Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss},
  author = {Muhammad Aasharib Nawshad and Muhammad Moazam Fraz},
  year = {2022},
  doi = {10.1007/978-3-031-25825-1_25},
  url = {https://doi.org/10.1007/978-3-031-25825-1_25},
  researchr = {https://researchr.org/publication/NawshadF22},
  cites = {0},
  citedby = {0},
  pages = {345-360},
  booktitle = {Image and Vision Computing - 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24-25, 2022, Revised Selected Papers},
  editor = {Wei Qi Yan 0001 and Minh Nguyen 0001 and Martin Stommel},
  volume = {13836},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-25825-1},
}