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problem with training for loss about mvcnn HOT 6 CLOSED

suhangpro avatar suhangpro commented on August 21, 2024
problem with training for loss

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Comments (6)

Hwang64 avatar Hwang64 commented on August 21, 2024

@iWeisskohl I meet the same question, have you solved this problem?

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iWeisskohl avatar iWeisskohl commented on August 21, 2024

@Hwang64 Not yet..... there might be some problem with batch size , but I can't figure it out with the offered code.

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Hwang64 avatar Hwang64 commented on August 21, 2024

@iWeisskohl , refer to the tensorflow version, the learning rate should be set to 0.0001 but not 0.01 and I get the accuracy which is almost the same as the paper illustrated, you may have a try.

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iWeisskohl avatar iWeisskohl commented on August 21, 2024

@Hwang64 Thanks so much.I got the almost same results. But I have one more question, have u ever pay attention about the training data and test data? It seems the offered data is not as same size as it reported in the paper....it only contains about 3000 training and 800 testing,but it supposed to have the same size with http://3dshapenets.cs.princeton.edu/ ModelNet40.zip

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TimeIvyace avatar TimeIvyace commented on August 21, 2024

actually i meet the same problem and i find that through modify the batch_size this issue can be solved well

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suhangpro avatar suhangpro commented on August 21, 2024

Thanks all for contributing to the solution!

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