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Systems and methods for polygon object annotation and a method of training and object annotation system

机译:用于多边形对象注释的系统和方法以及训练和对象注释系统的方法

摘要

The present invention relates generally to object annotation, specifically to polygonal annotations of objects. Described are methods of annotating an object including steps of receiving an image depicting an object, generating a set of image features using a CNN encoder implemented on one or more computers, and producing a polygon object annotation via a recurrent decoder or a Graph Neural Network. The recurrent decoder may include a recurrent neural network, a graph neural network or a gated graph neural network. A system for annotating an object and a method of training an object annotation system are also described.
机译:本发明总体上涉及对象注释,尤其涉及对象的多边形注释。描述了一种注释对象的方法,该方法包括以下步骤:接收描绘对象的图像;使用在一个或多个计算机上实现的CNN编码器生成一组图像特征;以及通过循环解码器或Graph神经网络产生多边形对象注释。循环解码器可以包括循环神经网络,图神经网络或门控图神经网络。还描述了用于注释对象的系统和训练对象注释系统的方法。

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