[Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art-Oriented Teaching

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Rp/Sig</td><td class="align_center">MSE</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">MVPD-CNN-hybrid</td><td class="align_center">0.791/0.000</td><td class="align_center">0.193</td></tr><tr><td class="align_left"><span style="width: 110.281ptpx;"><svg height="14.1179pt" id="M79" style="vertical-align:-5.36456pt" version="1.1" viewbox="-0.0498162 -8.75334 110.281 14.1179" width="110.281pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M303 0V28C221 34 213 39 213 125V525C213 610 221 616 303 622V650H38V622C120 616 128 610 128 525V125C128 40 120 34 38 28V0H303Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.433,0)"><path d="M631 18C609 24 585 35 559 65C534 91 514 117 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<div>Performance comparison of adaptive aesthetic model and MVPD-CNN-hybrid.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: [Retracted] The Effectiveness of Pictorial Aesthetics Based on Multiview Parallel Neural Networks in Art-Oriented Teaching 