A Feature Fusion Method with Guided Training for Classification Tasks

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Model (s)</td><td class="align_center">FGT-Net</td><td class="align_center">AlexNet</td><td class="align_center">ShuffleNetV2</td><td class="align_center">VGG16</td><td class="align_center">ResNet50</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Time</td><td class="align_center">10.39</td><td class="align_center">10.57</td><td class="align_center"><b>10.31</b></td><td class="align_center">11.66</td><td class="align_center">10.91</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Time comparison with other advanced models.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: A Feature Fusion Method with Guided Training for Classification Tasks 