- Viola. “Robust Real-time Object Detection.,” International Journal of Computer Vision 57.2(2001):87.Google Scholar
- Hinton, Geoffrey E , “Improving neural networks by preventing co-adaptation of feature detectors,” Computer ence 3.4(2012):págs. 212-223.Google Scholar
- Howard, Andrew G , “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,” (2017)Google Scholar
- Chen, Sheng , “MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices,” 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings. Biometric Recognition. Springer, Cham, 2018.Google ScholarCross Ref
- P. Zhang , “FeatherNets: Convolutional neural networks as light as feather for face anti-spoofing,” Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW), pp. 1574-1583, Jun. 2019.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.Google ScholarCross Ref
- Kaziakhmedov, Edgar , “Real-world attack on MTCNN face detection system,” (2019).Google ScholarCross Ref
- Zhang, Xiangyu , “ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,” (2017).Google Scholar
- Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C., “MobileNetV2: Inverted Residuals and Linear Bottlenecks,” CoRR, abs/1801.04381 (2018)Google Scholar
Index Terms
- Research on Face Detection Based on FeatherNet
Recommendations
Range Face Segmentation: Face Detection and Segmentation for Authentication in Mobile Device Range Images
MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & MultimediaFace detection (finding faces of different perspectives in images) is an important task as prerequisite to face recognition. This is especially difficult in the mobile domain, as bad image quality and illumination conditions lead to overall reduced face ...
Face Recognition Based Person Specific Identification for Video Surveillance Applications
WCI '15: Proceedings of the Third International Symposium on Women in Computing and InformaticsFace detection is an important aspect for applications like biometrics, video surveillance and human computer interaction. Videos provide abundant information and also that can be leveraged by temporal variations in pose, expression changes and ...
Face Detection with Improved Face R-CNN Training Method
ICCCV '20: Proceedings of the 3rd International Conference on Control and Computer VisionFaster R-CNN is a popular method in object detection applications. Based on Faster R-CNN, this paper proposes a facial feature enhancement method similar to the attention mechanism, and gets an improved model Face R-CNN. Face R-CNN combines with the ...
Comments