Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Data set</td><td class="align_center" colspan="3">Number of samples</td></tr><tr class="thead"><td class="align_center">Training set</td><td class="align_center">Testing set</td><td class="align_center">Total</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">300W-LP</td><td class="align_center">3500</td><td class="align_center">1300</td><td class="align_center">4800</td></tr><tr><td class="align_left">WFLW</td><td class="align_center">2400</td><td class="align_center">1200</td><td class="align_center">3600</td></tr><tr><td class="align_left">AFLW2000-3D</td><td class="align_center">2800</td><td class="align_center">1300</td><td class="align_center">4100</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The training set and testing set of each data set required for the experiment.</div>

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: Research on Real-Time Face Key Point Detection Algorithm Based on Attention Mechanism 