JRL-YOLO: A Novel Jump-Join Repetitious Learning Structure for Real-Time Dangerous Object Detection

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Video frame size</td><td class="align_center">NVIDIA GeForce RTX 2070 (FPS)</td><td class="align_center">NVIDIA Jetson AGX Xavier (FPS)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1080 × 1920</td><td class="align_center">98.4</td><td class="align_center">23</td></tr><tr><td class="align_left">1280 × 720</td><td class="align_center">108.5</td><td class="align_center">25</td></tr><tr><td class="align_left">640 × 480</td><td class="align_center">150.0</td><td class="align_center">34</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>FPS comparison of input videos of different sizes.</div>

Computational Intelligence and Neuroscience

tab6

Table 6

Table 6: JRL-YOLO: A Novel Jump-Join Repetitious Learning Structure for Real-Time Dangerous Object Detection 