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See for example PICO N. Markus, M. Frljak, I. S. Pandzic, J. Ahlberg and R. Forchheimer, "Object Detection with Pixel Intensity Comparisons Organized in Decision Trees", http://arxiv.org/abs/1305.4537

implementation: https://github.com/nenadmarkus/pico

Also, you can see here (http://vis-www.cs.umass.edu/fddb/results.html) a face detection data set and benchmarks. Based on the ROC curves, best two algorithms seems to be (if I'm not wrong):

• Faceness (From Facial Parts Responses to Face Detection: A Deep Learning Approach http://arxiv.org/pdf/1509.06451.pdf)

• DP2MFD (A Deep Pyramid Deformable Part Model for Face Detection http://arxiv.org/pdf/1508.04389v1.pdf)

(both based on deep learning)

See for example PICO PICO

N. Markus, M. Frljak, I. S. Pandzic, J. Ahlberg and R. Forchheimer, "Object Detection with Pixel Intensity Comparisons Organized in Decision Trees", http://arxiv.org/abs/1305.4537

implementation: https://github.com/nenadmarkus/pico

Also, you can see here (http://vis-www.cs.umass.edu/fddb/results.html) a face detection data set and benchmarks. Based on the ROC curves, best two algorithms seems to be (if I'm not wrong):

• Faceness (From Facial Parts Responses to Face Detection: A Deep Learning Approach http://arxiv.org/pdf/1509.06451.pdf)

• DP2MFD (A Deep Pyramid Deformable Part Model for Face Detection http://arxiv.org/pdf/1508.04389v1.pdf)

(both based on deep learning)

See for example PICO

N. Markus, M. Frljak, I. S. Pandzic, J. Ahlberg and R. Forchheimer, "Object Detection with Pixel Intensity Comparisons Organized in Decision Trees", http://arxiv.org/abs/1305.4537

implementation: https://github.com/nenadmarkus/pico

Also, you can see here (http://vis-www.cs.umass.edu/fddb/results.html) a face detection data set and benchmarks. Based on the ROC curves, best two algorithms seems seem to be (if I'm not wrong):

• Faceness (From Facial Parts Responses to Face Detection: A Deep Learning Approach http://arxiv.org/pdf/1509.06451.pdf)

• DP2MFD (A Deep Pyramid Deformable Part Model for Face Detection http://arxiv.org/pdf/1508.04389v1.pdf)

(both based on deep learning)