Detecting Masked Faces in the Wild with LLE-CNNs

href: http://openaccess.thecvf.com/content_cvpr_2017/papers/Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf

• research paper that provides a new dataset of masked faces (MAFA) and proposes a novel learning model locally linear embedding cascaded Convolutional Neural Networks (LLE-CNNs)

• Literature review contains many Datasets for face detection learning with none to some degree of occulsion

• Literature review contains 3 main models of face detection

  1. Boosting-based
  2. Deformable Part Model (DPM)
  3. Cascaded CNN

href for all Data for the above paper: http://www.escience.cn/people/geshiming/mafa.html

Real-World Masked Face Dataset，RMFD + recognition

• Research paper proposes a solution for Face recognition through occulsion and identifying if the person is wearing a mask as required

• Proposes 3 datasets (MFDD, RMFRD, SMFRD) paper href: https://arxiv.org/pdf/2003.09093.pdf href: https://github.com/X-zhangyang/Real-World-Masked-Face-Dataset