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View Code? Open in Web Editor NEW🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
Home Page: http://www.wangqingbaidu.cn/
🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
Home Page: http://www.wangqingbaidu.cn/
您好,我最近也在关注Exploring the Limits of Weakly Supervised Pretraining这篇文章,打算复现其中的数据清洗部分,因为感觉比较简单高效。
但是对于合并不同的可能对应同样的意思标签,例如:#brownbear和#ursusarctos都表示棕熊,我不太明白作者是怎么通过wordnet实现的?反复读了他文章中解释这部分的内容,他是在hashtag string中不同位置依次插入空格,分割出的string跟WordNet匹配,再合并所有的synsets,然后如果两个set of synsets完全一样则认为这两个hashtag string相近。
但在我复现中始终没有能把#brownbear和#ursusarctos识别成相同意思,不知是不是我理解有误。
你好,
关于Color Constancy中NUS 8-Camera DataSet部分的数据连接失效了,可以更新一下吗,十分感谢。
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