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yangdu0731 modestgoblin brucebrucezheng peternara hongsong-wang zhaskyba j-w-ca wangda11 affinityc shuaibicool caigouroad whyisma cvdata ixc123 yangsenwxy lei-miao wozuidiao renqian805 zhangsanfe reactleaner suminerproxy iray19890820 kenakai16 lk-wordsnake codeover1 nnnnai hellcatzm picemily lhdlcvgoogle_landmark_retrieval_2021_2nd_place_solution's Issues
关于generate_gld_list.py中的文件的continent_codes.csv和country_code.json怎么获取
如题，现在这两个文件是怎么获取的？
运行python eval_cbir.py时找不到GLDv2_search_label_competition_2021.pkl
请问作者这个pkl文件怎么获得：FileNotFoundError: [Errno 2] No such file or directory: 'GLDv2_search_label_competition_2021.pkl'
ZJBRCE
Conducted 79% plagiarists, reduce yourselves. Thanksgiving 😘
坑真多啊
关于模型forward的疑惑
在make_model.py的第253行: return cls_score, global_feat # global feature for triplet loss
这里给triplet loss的global_feat是经过了bn之后的特征，请问作者这里用了bn之后的特征而不是之前的特征的原因。
我理解的是triplet更适用之前的欧式空间的特征进行度量、而bn后的特征近似球面、适用于arc而非triplet。
个人理解不一定准确、因此请教下作者，望解答，谢谢！
landmark retireval 的问题【Questions from email】
您好,
我在github 上阅读了您的论文关于GLD-v2数据集的图像检索。有个问题想请教一下关于评估。我所下载的数据集GLD-v2中大部分类别都是小于10张的。所以请问map@100这个评估方法你们是在所有的训练数据集中使用的吗？还是只是对于图像超过100张的类别计算的?
很期待您的回复
Tianyi Hu
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