论文标题
AI可以为您解密时尚术语吗？
Can AI decrypt fashion jargon for you?
论文作者
论文摘要
当人们谈论时尚时，他们关心时尚概念的基本含义，例如风格。人们尚不清楚这些低级描述如何有助于一种风格或任何高级时尚概念。在本文中，我们提出了一种数据驱动的解决方案，以通过利用时尚网站上的大量现有产品数据来解决此概念理解问题。我们首先将1546个时尚关键字分为5种不同的时尚类别。然后，我们总共收集了一个新的时尚产品数据集，总共有853,056种产品。最后，我们训练了一个深度学习模型，该模型可以在产品图像中明确预测和解释其低水平和域特定时尚特征的高级时尚概念。
When people talk about fashion, they care about the underlying meaning of fashion concepts,e.g., style.For example, people ask questions like what features make this dress smart.However, the product descriptions in today fashion websites are full of domain specific and low level words. It is not clear to people how exactly those low level descriptions can contribute to a style or any high level fashion concept. In this paper, we proposed a data driven solution to address this concept understanding issues by leveraging a large number of existing product data on fashion sites. We first collected and categorized 1546 fashion keywords into 5 different fashion categories. Then, we collected a new fashion product dataset with 853,056 products in total. Finally, we trained a deep learning model that can explicitly predict and explain high level fashion concepts in a product image with its low level and domain specific fashion features.
