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View Code? Open in Web Editor NEWUnsupervised Representation Learning by Invariance Propagation
License: MIT License
Unsupervised Representation Learning by Invariance Propagation
License: MIT License
Hi! Thanks for your inspiring work.
I notice there is some code about CIFAR training in this repository. Could you please specify one complete config of this part for a fast validation like 'resnet18 + cifar100'?
Thanks a lot!
您好,我还是一个初学者。
在复现您的工作时,使用代码中train on cifar 10的代码做了训练,并用相应的evaluate部分想测试下。
装完对应的库以后,显示的却是如下错误:argument for training: error: argument --gpu: invalid int value: '0,1'
我猜测可能是您提供的指令与代码不匹配。
另外这段指令的在readme中的描述写的是train而非evaluate。
作者您好,非常感谢您能公布代码。
在您论文Hard Sampling Strategy部分提到N_neg(i) = NM(i) − N (i),并且background set B(i) = N_neg(i) ∪ Nh(i)。但是在objective.py中background set只是减去了self_sim。
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