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CONVOLUTIONAL NEURAL NETWORK-BASED TARGET MATCHING METHOD, DEVICE AND STORAGE MEDIUM

机译:基于卷积神经网络的目标匹配方法,装置和存储介质

摘要

Disclosed in the embodiments of the present invention are a convolutional neural network-based target matching method, device and storage medium. The method comprises: acquiring a first image and a second image; calculating a pooling feature of a target area in the first image; traversing and matching the second image on the basis of the pooling feature to obtain a corresponding matching score graph; and determining a target area in the second image according to the matching score graph.
机译:本发明实施例公开了一种基于卷积神经网络的目标匹配方法,装置和存储介质。该方法包括:获取第一图像和第二图像;以及计算第一图像中目标区域的合并特征;基于合并特征遍历第二图像并进行匹配,得到对应的匹配得分图;根据所述匹配得分图确定所述第二图像中的目标区域。

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