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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>CNN Perspective on the Key Role of Visual Structural Information in Maritime Ships</title>
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<!--th width="10%"><a href="#">Home</a></th-->
<!--th width="30%"><a href="#video-explicit">Demonstration of the explicit method</a></th>
<th width="30%"><a href="#video-implicit">Demonstration of the implicit method</a></th-->
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<h2>CNN Perspective on the Key Role of Visual Structural Information in Maritime Ships</h2>
<center>
MingXin Zhang<sup>1</sup>, Qian Zhang<sup>1</sup>, Ran Song<sup>1</sup>, Wei Zhang<sup>1*</sup>
<font size=2><sup>1</sup>School of Control Science and Engineering, Shandong University  </font>
</center>
<br><strong>Abstract</strong>
<p style="text-align:justify; text-justify:inter-ideograph;">
Invariant properties can provide important clues for intelligent perception of visual objects, but have not been effectively exploited in marine scenarios. This paper looks into an invariant property of ships, ship structure. Specifically, we define for the first time the visual structure of a ship as ship skeleton produced based on semantic and structural characteristics of deep features. With such a definition, we build the first ship structural dataset named Maritime Ships with Visual Structure (MSVS), where each ship is annotated with ship skeleton along with its common properties such as category, bounding box, IMO number, etc. By performing extensive experiments on the newly created dataset, we find that the keypoints that form ship skeleton play an important role in robust and effective training of ship recognition models. Furthermore, we show that ship skeleton conveying both 2D and 3D visual information contributes significantly to the perception of a ship.
</p>
<br>
<h1>Overview</h1>
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<h1>Video demonstration</h1>
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