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Thanks @zhyhy . Did you try training a different network on MNIST dataset and evaluate the performance? For me, the classification accuracy was around 97%.
I also encountered the same problem, using your code to run the performance is very poor, and I see your results in ipynb file are also not really good. Is there a problem somewhere?
Hello, I tested your code on the MNIST data set and found that the effect is not so good. Can you achieve better open set recognition?
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