Machine learning is completely changing the trends in the fashion industry. From big to small every brand is using machine learning techniques in order to improve their revenue, increase customers and stay ahead of the trend. People are into fashion and they want to know what looks best and how they can improve their style and elevate their personality. Using Deep learning technology and infusing it with Computer Vision techniques one can do so by utilizing Brain-inspired Deep Networks, and engaging into Neuroaesthetics, working with GANs and Training them, playing around with Unstructured Data,and infusing the transformer architecture are just some highlights which can be touched with the Fashion domain. Its all about designing a system that can tell us information regarding the fashion aspect that can come in handy with the ever growing demand. Personalization is a big factor that impacts the spending choices of customers.The survey also shows remarkable approaches that encroach the subject of achieving that by divulging deep into how visual data can be interpreted and leveraged into different models and approaches. Aesthetics play a vital role in clothing recommendation as users' decision depends largely on whether the clothing is in line with their aesthetics, however the conventional image features cannot portray this directly. For that the survey also highlights remarkable models like tensor factorization model, conditional random field model among others to cater the need to acknowledge aesthetics as an important factor in Apparel recommendation.These AI inspired deep models can pinpoint exactly which certain style resonates best with their customers and they can have an understanding of how the new designs will set in with the community. With AI and machine learning your businesses can stay ahead of the fashion trends.
翻译:机器学习正在彻底改变时装行业的趋势。 从大到小,每个品牌都在使用机器学习技术来提高收入,增加客户数量并保持领先趋势。 人们正在进入时装界,他们想要知道什么是最佳的,什么是最佳的,什么可以改进风格和提升个性。 利用深层学习技术并用计算机视野技术来推广它,他们可以使用大脑启发的深层网络,参与神经美学,与GANs合作并培训它们,与无结构的数据一起玩耍,以及使用机器变压器结构只是一些可以与时装域接触的亮点。它的全部内容是设计一个系统,能够告诉我们什么是最佳时装方面,如何与不断增长的需求相匹配。个性化是影响客户消费选择的一个大因素。 调查还表明,通过深入了解视觉数据如何被解读,如何将视觉数据运用到不同的模型和方式。 美学在用户决定中扮演着关键的作用,这主要取决于服装是否与时装界的风格相符。 然而,常规的特征特征也无法直接显示, 将这种光质的图像的标志性能像模型。