Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Mean</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Mp-net-motion</td><td class="align_center">55.36</td></tr><tr><td class="align_left">Uovos-motion</td><td class="align_center">56.91</td></tr><tr><td class="align_left">Fseg-motion</td><td class="align_center">68.25</td></tr><tr><td class="align_left">Epo-motion</td><td class="align_center">76.58</td></tr><tr><td class="align_left">Methods of this paper</td><td class="align_center">80.36</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparative experiment of motion saliency segmentation network on DAVIS.</div>

Advances in Mathematical Physics

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Table 1

Table 1: Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling 