Detecting Masked Faces in the Wild with LLE-CNNs
By Shiming Ge, Jia Li, Qiting Ye, Zhao Luo. Computer Vision and Pattern Recognition, 2017
386 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/9cc8cf0c7d7fa7607659921b6ff657e17e135ecc
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In Computer Vision and Pattern Recognition
Citations in the corpus
- SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2 (2020, neutral): “They are used to facilitate self-focusing (Huang, Ai, Li, & Lao, 2007), the interaction be-tween humans and computers (Jun, Choi, & Kim, 2012), and managing image database (Ge, Li, Ye, & Luo, 2017).”
- Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module (2020, background): “There are several works trying to solve occlusion problems in different scenarios, such as person re-identification [37, 42, 43], face recognition [6, 28, 38].”
- Binary Neural Networks: A Survey (2020, methodology): “Convolutional neural networks (CNNs) have been proved to be reliable in the fields of image classification [2, 3, 4, 5, 6], object detection [7, 8, 9, 10] and object recognition [11, 12, 2, 13, 14], and thus have been widely used in practice.”