Hierarchical Attention-Based Multimodal Fusion Network for Video Emotion Recognition

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Fully connected layers</td><td class="align_center">Accuracy (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><i>G</i>1</td><td class="align_center">62.15</td></tr><tr><td class="align_left"><i>G</i>2</td><td class="align_center">63.08</td></tr><tr><td class="align_left"><i>G</i>3</td><td class="align_center">61.92</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Accuracy of emotion recognition of global attention network.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Hierarchical Attention-Based Multimodal Fusion Network for Video Emotion Recognition 