大象比蝴蝶大吗？关于物体大小的推理
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
摘要：
人类的视觉极大地受益于关于物体大小的信息。尺寸在几个视觉推理任务中的作用已经在人类感知和认知中被彻底探索。然而，关于对象大小的信息的影响在AI中尚未确定。我们假设，这主要是由于缺乏一个全面的存储库的大小信息。在本文中，我们介绍了一种方法来自动推断对象的大小，利用视觉和文本信息从Web。通过最大化文本和视觉观察的联合可能性，我们的方法学习可靠的相对大小估计，没有明确的人类监督。我们介绍了相对大小的数据集，并表明我们的方法优于竞争力的文本和视觉基线的推理大小比较。
英文摘要：
Human vision greatly benefits from the information about sizes of objects. The role of size in several visual reasoning tasks has been thoroughly explored in human perception and cognition. However, the impact of the information about sizes of objects is yet to be determined in AI. We postulate that this is mainly attributed to the lack of a comprehensive repository of size information. In this paper, we introduce a method to automatically infer object sizes, leveraging visual and textual information from web. By maximizing the joint likelihood of textual and visual observations, our method learns reliable relative size estimates, with no explicit human supervision. We introduce the relative size dataset and show that our method outperforms competitive textual and visual baselines in reasoning about size comparisons.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
