论文标题
用于时尚图像分类和视觉搜索的神经网络
Neural Networks for Fashion Image Classification and Visual Search
论文作者
论文摘要
我们讨论电子商务行业面临的两个潜在挑战的问题。一个涉及卖家面临的问题，同时将产品上载在平台出售的产品以及随之而来的手动标签上。它导致错误分类导致其缺乏搜索结果。另一个问题涉及在客户可能不知道正确的关键字，而是对图像的视觉印象时，在下订单时的潜在瓶颈涉及。基于图像的搜索算法可以通过使客户单击对象的图片并搜索类似产品而无需打字，从而释放电子商务的真正潜力。在本文中，我们探索了机器学习算法，这可以帮助我们解决这两个问题。
We discuss two potentially challenging problems faced by the ecommerce industry. One relates to the problem faced by sellers while uploading pictures of products on the platform for sale and the consequent manual tagging involved. It gives rise to misclassifications leading to its absence from search results. The other problem concerns with the potential bottleneck in placing orders when a customer may not know the right keywords but has a visual impression of an image. An image based search algorithm can unleash the true potential of ecommerce by enabling customers to click a picture of an object and search for similar products without the need for typing. In this paper, we explore machine learning algorithms which can help us solve both these problems.
