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Baidu_Dogs

1、对近100种狗的图片进行分类。 2、使用数据增强扩充图片,在单模型的基础上提高了近一个百分点。 3、使用fast-rcnn切割图片,将数据分为全图,狗身,狗头三部分。将三部分特征级联,单模型下提高了几个千分点。 4、采用投票策略集成resNet,Inception,Xception和denseNet等模型。最终准确率为81.4%

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