论文标题
强大的图像字幕
Robust Image Captioning
论文作者
论文摘要
照片的自动字幕是一项任务，其中包含了照片分析和文本生成的困难。字幕的一个基本特征是注意的概念：如何确定要指定的内容以及在哪个顺序上。在这项研究中，我们使用对抗性鲁棒剪切算法利用对象关系，该算法通过特异性地嵌入了有关通过图形表示输入数据之间的空间关联的知识来生长的。我们的实验研究代表了我们提出的图像字幕方法的有希望的表现。
Automated captioning of photos is a mission that incorporates the difficulties of photo analysis and text generation. One essential feature of captioning is the concept of attention: how to determine what to specify and in which sequence. In this study, we leverage the Object Relation using adversarial robust cut algorithm, that grows upon this method by specifically embedding knowledge about the spatial association between input data through graph representation. Our experimental study represent the promising performance of our proposed method for image captioning.
