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Face detection serves as a fundamental research topic for many applications like face recognition.
Rapid object detection using a boosted cascade of simple features
Viola, P., Jones, M.: · 2001
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Fast human detection using a cascade of histograms of oriented gradients
Zhu, Q., Yeh, M.C., Cheng, K.T., Avidan, S.: · 2006
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Efficient non-maximum suppression
Neubeck, A., Van Gool, L.: · 2006
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On the design of cascades of boosted ensembles for face detection
Brubaker, S.C., Wu, J., Sun, J., Mullin, M.D., Rehg, J.M.: · 2008
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A discriminatively trained, multiscale, deformable part model
Felzenszwalb, P., McAllester, D., Ramanan, D.: · 2008
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Supervised descent method and its applications to face alignment
Xiong, X., De la Torre, F.: · 2013
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Some improvements on deep convolutional neural network based image classification
Howard, A.G.: · 2013
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Aggregate channel features for multi-view face detection
Yang, B., Yan, J., Lei, Z., Li, S.Z.: · 2014
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Densebox: Unifying landmark localization with end to end object detection
Huang, L., Yang, Y., Deng, Y., Yu, Y.: · 2015
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Deep face recognition
Parkhi, O.M., Vedaldi, A., Zisserman, A., et al.: · 2015
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Facenet: A unified embedding for face recognition and clustering
Schroff, F., Kalenichenko, D., Philbin, J.: · 2015
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High-fidelity pose and expression normalization for face recognition in the wild
Zhu, X., Lei, Z., Yan, J., Yi, D., Li, S.Z.: · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
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Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: · 2015
Cited alongside, same era.
Fast r-cnn
Girshick, R.: · 2015
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From facial parts responses to face detection: A deep learning approach
Yang, S., Luo, P., Loy, C.C., Tang, X.: · 2015
Cited alongside, same era.
Unitbox: An advanced object detection network
Yu, J., Jiang, Y., Wang, Z., Cao, Z., Huang, T.: · 2016
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Wider face: A face detection benchmark
Yang, S., Luo, P., Loy, C.C., Tang, X.: · 2016
Cited alongside, same era.
Face alignment across large poses: A 3d solution
Zhu, X., Lei, Z., Liu, X., Shi, H., Li, S.Z.: · 2016
Cited alongside, same era.
Focal loss for dense object detection
Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollar, P.: · 2017
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Dssd: Deconvolutional single shot detector
Fu, C.Y., Liu, W., Ranga, A., Tyagi, A., Berg, A.C.: · 2017
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Feature pyramid networks for object detection
Lin, T.Y., Dollar, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: · 2017
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Yolo9000: Better, faster, stronger
Redmon, J., Farhadi, A.: · 2017
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S3fd: Single shot scale-invariant face detector
Zhang, S., Zhu, X., Lei, Z., Shi, H., Wang, X., Li, S.Z.: · 2017
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Ssh: Single stage headless face detector
Najibi, M., Samangouei, P., Chellappa, R., Davis, L.S.: · 2017
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A fast and accurate unconstrained face detector
Liao, S., Jain, A.K., Li, S.Z.: · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., Berg, A.C.: · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: · 2016
Cited alongside, same era.
Joint face detection and alignment using multitask cascaded convolutional networks
Zhang, K., Zhang, Z., Li, Z., Qiao, Y.: · 2016
Cited alongside, same era.
To boost or not to boost? on the limits of boosted trees for object detection
Ohn-Bar, E., Trivedi, M.M.: · 2016
Cited alongside, same era.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
Cited alongside, same era.
Xception: Deep learning with depthwise separable convolutions
Chollet, F.: · 2017
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Scale-aware face detection
Hao, Z., Liu, Y., Qin, H., Yan, J., Li, X., Hu, X.: · 2017
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Fixing weight decay regularization in adam
Loshchilov, I., Hutter, F.: · 2017
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Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection
Zhu, C., Zheng, Y., Luu, K., Savvides, M.: · 2017
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Face detection through scale-friendly deep convolutional networks
Yang, S., Xiong, Y., Loy, C.C., Tang, X.: · 2017
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Finding tiny faces
Hu, P., Ramanan, D.: · 2017
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