VSE-fs: Fast Full-Sample Visual Semantic Embedding

IEEE Intelligent Systems(2021)

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摘要
The visual semantic embedding (VSE) aims to construct a joint embedding space between visual features and semantic information, whereby classes can be well retrieved for a given image. However, VSE faces the computational challenge due to the large scale image-class data and the constrained system processing power. To speed up model training, many researchers resort to different sampling strategie...
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关键词
Computational modeling,Training,Integrated circuits,Time complexity,Semantics,Visualization,Intelligent systems
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