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proposal对齐问题 #33
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请问有多大的提升? |
@RYYAI 能到88% |
@he010103 你好,想向你请教一下你说的add操作是简单的几个part和global的2048维特征向量相加吗?谢谢! |
@ZF1044404254 我这边是直接相加的,比起性能小幅提高,更重要的是训练波动更小。 |
@he010103 谢谢你的分享 |
@he010103 能把代码贴上来么,谢谢了。 |
@liu826250634 你试过吗,有效果吗? |
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代码中有一步是对 global_feat 和 排序的part_feat concat,然后进行200类的分类。但是不同图片的part_feat是按照得分来排序的,不是按照身体部位来排序的,所以存在特征不对齐的问题。有可能图a是: 头,腿,胸,身体,图b是胸,头,腿,身体。我这里尝试把concat换成add会训练更稳定一点,性能有小的提升!
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