基于深度学习的模式识别与依赖检索研究

Chunxia Zhang, Guoyun Zhang
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引用次数: 0

摘要

随着计算机视觉技术在视觉时尚领域的飞速发展,对话剧服装“依赖”图案的研究越来越受到人们的关注。目前,在服装图像显示领域,研究主要集中在服装图像识别、关键点检测、服装推荐、检索和匹配等方面。这些研究可以为话剧服装的设计、制作、展示、销售等环节提供决策支持,带来全新的展示体验。然而,在服装“依赖”图像的现实应用场景中,我们仍然面临着服装款式、材质、剪裁、图案构图和组合方式的变化带来的挑战,这些变化使得识别、定位、推荐等应用效果通过实验不断提升。本文基于深度学习的方法主要完成服装“依赖”模式识别、关键点检测、服装检索等任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on pattern recognition and retrieval of reliance based on deep learning
With the rapid development of computer vision technology in the field of visual fashion, more and more people pay attention to the research on the "reliance" pattern of drama clothing. At present, in the field of clothing image display, research mainly focuses on clothing image recognition, key point detection, clothing recommendation, retrieval and matching. These studies can provide decision support for the design, production, display, sales and other links of drama costumes and bring a new display experience. However, in the realistic application scenarios of clothing "reliance" images, we still face challenges brought by changes in clothing style, materials, cutting, pattern composition and combination methods, which make the effects in recognition, positioning, recommendation and other applications continuously improved through experiments. The method based on depth learning in this paper focuses on clothing "reliance" pattern recognition, key point detection, clothing retrieval and other tasks.
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