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cifar-KNN #9

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pangxuanrong opened this issue Nov 28, 2019 · 18 comments
Open

cifar-KNN #9

pangxuanrong opened this issue Nov 28, 2019 · 18 comments

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@pangxuanrong
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你好,我想问下您的cifar-knn文件的K近邻是使用欧氏距离来计算的吗,为什么我重新用VGG19的relu7来重新计算KNN的时候,跟您原来的KNN差异很大,而且您论文描述的是使用resnet提取的2048维特征

@ht014
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ht014 commented Nov 30, 2019

Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing

@pangxuanrong
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pangxuanrong commented Dec 5, 2019

Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing

嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide 21个类,但是map@all只有0.5,map@1000和@5000有0.6多, 我不确定map@all是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗

@ht014
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ht014 commented Dec 6, 2019

@pangxuanrong
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@zhjy2016
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NUS-WIDE: https://pan.baidu.com/s/1aF105eMyGAJqXsZpVHmEaQ
MAP follows https://github.com/thuml/HashNet/blob/master/pytorch/src/test.py

hello,the link of baidupan is overdue,Can you share a new one?

@ht014
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ht014 commented May 20, 2020

NUS-WIDE: https://pan.baidu.com/s/1aF105eMyGAJqXsZpVHmEaQ
MAP follows https://github.com/thuml/HashNet/blob/master/pytorch/src/test.py

hello,the link of baidupan is overdue,Can you share a new one?

Link:https://pan.baidu.com/s/1qqtAIXnW-1v1rRPqUAYygA password:p7rx

@BlurryFaced
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NUS-WIDE: https://pan.baidu.com/s/1aF105eMyGAJqXsZpVHmEaQ
MAP follows https://github.com/thuml/HashNet/blob/master/pytorch/src/test.py

hello,the link of baidupan is overdue,Can you share a new one?

Link:https://pan.baidu.com/s/1qqtAIXnW-1v1rRPqUAYygA password:p7rx

Hi, sorry to bother you, but the link of baidupan is overdue again, could you please be so kind to share nus-wide with us? many thanks

@BlurryFaced
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Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing

嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide 21个类,但是map@all只有0.5,map@1000和@5000有0.6多, 我不确定map@all是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗

您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您

@ht014
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ht014 commented Sep 16, 2020 via email

@BlurryFaced
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Hi, 试试这个能不能下载,链接: https://pan.baidu.com/s/13ts5KcXcSETPggz26vOQmg 密码: 61cu FullMoonZhang notifications@github.com 于2020年9月16日周三 上午8:59写道:

Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing 嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide @.@.@.*** <https://github.com/5000>有0.6多, @.***是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗 您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPLJZRIIRLBJQYNFDB3SGAEVJANCNFSM4JSQKLLA .

感谢您的快速回复,我第一次用github,没收到消息的通知,文件过期了。斗胆请您再发最后一次,谢谢谢谢您。

@BlurryFaced
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Hi, 试试这个能不能下载,链接: https://pan.baidu.com/s/13ts5KcXcSETPggz26vOQmg 密码: 61cu FullMoonZhang notifications@github.com 于2020年9月16日周三 上午8:59写道:

Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing 嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide @.@.@.*** <https://github.com/5000>有0.6多, @.***是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗 您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPLJZRIIRLBJQYNFDB3SGAEVJANCNFSM4JSQKLLA .

因为对github不熟悉麻烦您两次,真是非常抱歉 :(

@Could-be-butter
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Hi, 试试这个能不能下载,链接: https://pan.baidu.com/s/13ts5KcXcSETPggz26vOQmg 密码: 61cu FullMoonZhang notifications@github.com 于2020年9月16日周三 上午8:59写道:

Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing 嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide @.@.@.*** <https://github.com/5000>有0.6多, @.***是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗 您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPLJZRIIRLBJQYNFDB3SGAEVJANCNFSM4JSQKLLA .

Hey,the link of baidupan you shared is no longer useful, Can i get a new share? Thx a lot

@ht014
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ht014 commented Sep 29, 2020 via email

@BlurryFaced
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链接: https://pan.baidu.com/s/1at2jvObSdNJ9HAzwA57-Bg 密码: 04r2 BlurryFacess notifications@github.com 于2020年9月29日周二 上午11:29写道:

Hi, 试试这个能不能下载,链接: https://pan.baidu.com/s/13ts5KcXcSETPggz26vOQmg 密码: 61cu FullMoonZhang @.*** 于2020年9月16日周三 上午8:59写道: … <#m_3539921555070459916_> Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing 嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide @@.*** @.*** <https://github.com/5000>有0.6多, @ .***是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗 您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment) <#9 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPLJZRIIRLBJQYNFDB3SGAEVJANCNFSM4JSQKLLA . Hey,the link of baidupan you shared is no longer useful, Can i get a new share? Thx a lot — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPPMPSQKUHKLOMXOS3LSIFIATANCNFSM4JSQKLLA .

谢谢您~

@ximi2018
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链接: https://pan.baidu.com/s/1at2jvObSdNJ9HAzwA57-Bg 密码: 04r2 BlurryFacess notifications@github.com 于2020年9月29日周二 上午11:29写道:

Hi, 试试这个能不能下载,链接: https://pan.baidu.com/s/13ts5KcXcSETPggz26vOQmg 密码: 61cu FullMoonZhang @.*** 于2020年9月16日周三 上午8:59写道: … <#m_3539921555070459916_> Yes, we use resnet feature to construct KNN graph. You can download KNN graph from https://drive.google.com/file/d/0Bzg9TvY-s7y2WFFlc3F0T2RkalE/view?usp=sharing 嗯嗯,请问您有nus-wide划分好的数据集的地址提供下载吗?,比如网盘这些,因为我在跑您的代码的时候,也是使用的nus-wide @@.*** @.*** <https://github.com/5000>有0.6多, @ .***是否是正常的,您论文里面nus-wide给的map@N的N是整个检索集数量吗 您好,请问您的nus-wide 21个类是从哪里下载的呢?我找了好久,但只能找到官网的版本。作者的链接也过期了,所以很抱歉麻烦您 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment) <#9 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPLJZRIIRLBJQYNFDB3SGAEVJANCNFSM4JSQKLLA . Hey,the link of baidupan you shared is no longer useful, Can i get a new share? Thx a lot — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#9 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABGWUPPMPSQKUHKLOMXOS3LSIFIATANCNFSM4JSQKLLA .

谢谢您~

我可以从您这得到一个链接吗?谢谢谢谢`~

@ht014
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ht014 commented Jan 16, 2021 via email

@ht014
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ht014 commented Mar 3, 2021 via email

@xuzefangfangtu
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请问您有nus-wide划分好的数据集的地址提供下载吗?之前的都失效了,谢谢您

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