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BabyTalk: understanding and generating simple image descriptions

机译:BabyTalk:了解并生成简单的图像描述

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Kulkarni et al. propose an automatic image description system based on predicted content using natural language statistics. They claim that the system is able to produce a correct description of an image in the form of natural language sentences, in the same way that humans can. The proposed system contains two stages: computer vision-based detection and recognition following content planning, and the framing of natural language sentences based on predicted content and natural language statistics through surface realization. The paper uses several surface realization steps and evaluates each automatically formed sentence, similar to human interpretation.
机译:Kulkarni等。提出使用自然语言统计基于预测内容的自动图像描述系统。他们声称,该系统能够以与人类相同的方式以自然语言句子的形式对图像进行正确的描述。所提出的系统包括两个阶段:内容规划后基于计算机视觉的检测和识别,以及基于预测内容和自然语言统计的自然语言句子的框架化。本文使用了多个表面实现步骤,并评估了每个自动形成的句子,类似于人工解释。

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