Background At present, the new crown virus is spreading around the world, causing all people in the world to wear masks to prevent the spread of the virus. Problem . People with masks have found a lot of trouble for face recognition. Finding a feasible method to recognize faces wearing masks is a problem that needs to be solved urgently. Method This paper proposes a mask recognition algorithm based on improved YOLO-V4 neural network and the integrated SE-Net and DenseNet network and introduces deformable convolution. Conclusion Compared with other target detection networks, the improved YOLO-V4 neural network used in this paper improves the accuracy of face recognition and detection with masks to a certain extent.
【초록키워드】 Masks, virus, Mask, Spread, Accuracy, Algorithm, YOLO, Convolution, problem, present, finding, crown, Prevent, IMPROVE, recognize, feasible, wearing mask, 【제목키워드】 Mask, network, face, Recognition, Improved, Neural,