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Mix and Match: Joint Model for Clothing and Attribute Recognition
时间 2020-12-30
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1.Introduction: 作者想验证这样一个假说,即共同考虑多样的服饰和属性相比独立的进行检测是否能提升检测的准确率。例如人们不会同时穿裙子和长裤,因此服饰之间存在着这样的排他性的关联。不同于以往的基于像素级别的分析,本文是基于衣物饰品的语义级别来考虑的。 本文的实现是基于 Conditional Random Field的二阶联合模型,给出一张图片考虑其对应的服饰的概率分布,输出最大后验分
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