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IMAGE DESCRIPTION GENERATION METHOD, MODEL TRAINING METHOD, DEVICE AND STORAGE MEDIUM

机译:图像描述生成方法,模型训练方法,设备和存储介质

摘要

Embodiments of this application disclose an image description generation method performed at a computing device. The method includes: obtaining a target image; generating a first global feature vector and a first label vector set of the target image; applying the target image to a matching model and generating a first multi-mode feature vector of the target image through the matching model, the matching model being a model obtained through training according to a training image and reference image description information of the training image; and generating target image description information of the target image according to the first multi-mode feature vector, the first global feature vector, and the first label vector set.
机译:本申请的实施例公开了在计算设备处执行的图像描述生成方法。该方法包括:获得目标图像;以及生成目标图像的第一全局特征矢量和第一标签矢量集;将所述目标图像应用于匹配模型,并通过所述匹配模型生成所述目标图像的第一多模特征向量,所述匹配模型为根据所述训练图像和所述训练图像的参考图像描述信息进行训练得到的模型;根据第一多模式特征向量,第一全局特征向量和第一标签向量集合,生成目标图像的目标图像描述信息。

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