<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">López, Pedro Diego</style></author><author><style face="normal" font="default" size="100%">Valle, Roberto</style></author><author><style face="normal" font="default" size="100%">Baumela, Luis</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Vera-Rodriguez, Ruben</style></author><author><style face="normal" font="default" size="100%">Fierrez, Julian</style></author><author><style face="normal" font="default" size="100%">Morales, Aythami</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Facial Landmarks Detection Using a Cascade of Recombinator Networks</style></title><secondary-title><style face="normal" font="default" size="100%">Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><pages><style face="normal" font="default" size="100%">575–583</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-13469-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Nowadays, Convolutional Neural Nets (CNNs) have become the reference technology for many computer vision problems, including facial landmarks detection. Although CNNs are very robust, they still lack accuracy because they cannot enforce the estimated landmarks to represent a valid face shape.&lt;/p&gt;
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