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MULTI-LEVEL DEEP FEATURE AND MULTI-MATCHER FUSION FOR IMPROVED IMAGE RECOGNITION

机译:多层次深层特征和多粒子融合,可改善图像识别

摘要

A system, method and program product for implementing image recognition. A system is disclosed that includes a training system for generating a multi-feature multi-matcher fusion (MMF) predictor for scoring pairs of images, the training system having: a neural network configurable to extract a set of feature spaces at different resolutions based on a training dataset; and an optimizer that processes the training dataset, extracted feature spaces and a set of matcher functions to generate the MMF predictor having a series of weighted feature/matcher components; and a prediction system that utilizes the MMF predictor to generate a prediction score indicative of a match for a pair of images.
机译:用于实现图像识别的系统,方法和程序产品。公开了一种系统,该系统包括训练系统,该训练系统用于生成用于对图像对进行评分的多特征多匹配器融合(MMF)预测器,该训练系统具有:可配置为基于不同分辨率提取一组特征空间的神经网络。训练数据集;优化器,用于处理训练数据集,提取的特征空间和一组匹配器函数,以生成具有一系列加权特征/匹配器分量的MMF预测器;一种预测系统,利用MMF预测器生成表示一对图像匹配的预测分数。

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