Parallel CNN Network Learning-Based Video Object Recognition for UAV Ground Detection

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/2701217/figures/2701217.fig.007a.svgz" name="2701217.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>FPN</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/2701217/figures/2701217.fig.007b.svgz" name="2701217.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Panet</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/2701217/figures/2701217.fig.007c.svgz" name="2701217.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>BiFPN</td></tr></table>

<div>Comparison of different feature fusion methods.</div>

Wireless Communications and Mobile Computing

fig7

Figure 7

Figure 7: Parallel CNN Network Learning-Based Video Object Recognition for UAV Ground Detection 