Multi-view Face Detection Using Deep Convolutional Neural Networks · HackerPapers discussions

Multi-view Face Detection Using Deep Convolutional Neural Networks — mentioned by danielmorozoff

Tue, 21 Jun 2016 01:56:53 GMT

Very interesting paper. Thank you for sharing it. I had a question after reading it. The parameter rho, that is used to either classify/regress depending on the t cascade stage{1..T}, is said to be set empirically. This, I would assume, could change across data sets, how were you able to decide when classification switched to regression in your tree and how was this adapted when testing on other data? Also forgot to attach the paper I was referring to: http://arxiv.org/pdf/1502.02766v3.pdf

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Multi-view Face Detection Using Deep Convolutional Neural Networks — mentioned by hlfw0rd

Fri, 21 Aug 2015 00:11:02 GMT

You might like this paper. Multi-view Face Detection Using Deep Convolutional Neural Networks : http://arxiv.org/abs/1502.02766

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Multi-view Face Detection Using Deep Convolutional Neural Networks — mentioned by jhartmann

Wed, 18 Feb 2015 18:20:31 GMT

There is also a paper published with technical details at http://arxiv.org/abs/1502.02766. They are using Spatial Pyramid Pooling like the Microsoft Deep Learning group out of China combined with a sliding window evaluation over the input images. Looks like we finally have an approach that does well on occluded and rotated faces. That is something that Viola-Jones does quite poorly, so its quite an exciting advance.

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Multi-view Face Detection Using Deep Convolutional Neural Networks — HN submission

Tue, 17 Feb 2015 14:22:34 GMT

Multi-View Face Detection Using Deep Convolutional Neural Networks

17 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.