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During training, an image and corresponding text snippet are fed through the encoders to get an image feature vector and text feature vector. The goal is to make the image and text features for a matched pair have a high cosine similarity, while feature...
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For medical image retrieval, each image is usually represented by a feature vector with often thousands of dimensions. An exhaustive search of millions of images with large feature vectors is very time-consuming (Zhang et al., 2015c). In clinical applications, for a single patient tens to ...
A vector in physics is a mathematical entity that has a direction a sign and a magnitude. So it is commonly represented visually with an arrow. 物理学中的矢量是一个具有方向、符号和大小的数学实体。所以通常在用箭头直观表示。 Vector (Image By Author) ...
If I use that API to retrieve image vectors is it possible to populate a AI Search vector database with these results? I.e. bypass it's own vector embedding and use my vectors? I'm still learning how to translate my rough knowledge of AI into Azure services, ...