CLIP Augmentation for Image Search

Ingus Janis Pretkalnins, A. Sprogis, Guntis Barzdins
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Abstract

: We devised a probabilistic method for adding face recognition to the neural network model CLIP. The method was tested by creating a prototype and matching 1000 images to their descriptions. The method improved the text to image Recall @ 1 metric from 14.0% matches for CLIP alone to 21.8% for CLIP + method, for a sample size of 1000 images and descriptions.
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剪辑增强图像搜索
我们设计了一种概率方法将人脸识别添加到神经网络模型CLIP中。通过创建一个原型并将1000张图像与其描述进行匹配,对该方法进行了测试。对于1000张图像和描述的样本大小,该方法将文本到图像的召回率@ 1指标从CLIP单独的14.0%提高到CLIP +方法的21.8%。
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