Multilevel Feature Exploration Network for Image Superresolution

<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">&lt;!—Col Count:4F0E0<b>Attention</b></td><td class="align_center"><b>Set5</b></td><td class="align_center"><b>Set14</b></td><td class="align_center"><b>B100</b></td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left"><b>w/o</b></td><td class="align_center">32.22/0.8954</td><td class="align_center">28.63/0.7831</td><td class="align_center">27.59/0.7373</td></tr><tr><td class="align_left"><b>w</b></td><td class="align_center"><b>32.26/0.8961</b></td><td class="align_center"><b>28.65/0.7838</b></td><td class="align_center"><b>27.63/0.7381</b></td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Investigation on PSNR/SSIM performances of spatial attention (SA) mechanism.</div>

Scientific Programming

tab2

Table 2

Table 2: Multilevel Feature Exploration Network for Image Superresolution 