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This repository has been archived by the owner on Jun 15, 2023. It is now read-only.
I have a question. Is the accuracy reported in your paper on the validation set or the test set? If it is on the validation set, but I use the resnet50 pretrainmodel of the first stage you provided on github, and the second stage using crt and lws can reach 48.0%, which is slightly higher than the results in the paper. But if it is on the test set, the results of using crt and lws in the second stage are 46.3% and 46.6%, respectively, which is little far from the results reported in the paper. I am very confused about this question.
The text was updated successfully, but these errors were encountered:
OK, I know it. According to the second stage weights(Renext50 crt) you provided on github, I tested its accuracy on the test set, and the output is as follows:
Thanks for the great work!
I have a question. Is the accuracy reported in your paper on the validation set or the test set? If it is on the validation set, but I use the resnet50 pretrainmodel of the first stage you provided on github, and the second stage using crt and lws can reach 48.0%, which is slightly higher than the results in the paper. But if it is on the test set, the results of using crt and lws in the second stage are 46.3% and 46.6%, respectively, which is little far from the results reported in the paper. I am very confused about this question.
The text was updated successfully, but these errors were encountered: