Application of Multiscale Facial Feature Manifold Learning Based on VGG-16

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">VGG16 (s)</td><td class="align_center">LeNet-5 (s)</td><td class="align_center">DenseNet (s)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">3.5</td><td class="align_center">9.1</td><td class="align_center">11.6</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The time required for the three types of networks to complete an operation.</div>

Journal of Sensors

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Table 3

Table 3: Application of Multiscale Facial Feature Manifold Learning Based on VGG-16 