Virtual Dress Swap Using Landmark Detection
Kapital Bank（资本银行）；Khazar University（哈扎尔大学）；Lumos Extension School of Data（Lumos 数据扩展学院）
英文摘要：
Online shopping has gained popularity recently. This paper addresses one crucial problem of buying dress online, which has not been solved yet. This research tries to implement the idea of clothes swapping with the help of DeepFashion dataset where 6,223 images with eight landmarks each used. Deep Convolutional Neural Network has been built for Landmark detection.
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。
