Sparse Spatial-Temporal Emotion Graph Convolutional Network for Video Emotion Recognition

<table class="table-group" id="tab2"><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">MEHD (%)</td><td class="align_center">HEIV (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Spatiotemporal graph</td><td class="align_center">67.29</td><td class="align_center">55.06</td></tr><tr><td class="align_left">Spatiotemporal graph<br/>+ proposal regions’ features</td><td class="align_center">67.99</td><td class="align_center">55.55</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Exploration of emotion features of proposal regions.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Sparse Spatial-Temporal Emotion Graph Convolutional Network for Video Emotion Recognition 