Comments (6)
@iWeisskohl I meet the same question, have you solved this problem?
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@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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@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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@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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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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Thanks all for contributing to the solution!
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Related Issues (20)
- precious HOT 3
- torch version of mvcnn HOT 1
- the problem of cudnn versions for supporting cudnn acceleration HOT 1
- Visualization of layer parameters
- How is the model' s performance when texture information is included?
- How can I get the predicted label of a 3D model?
- PyTorch/ResNet Implementation HOT 1
- Issue about the size of ModelNet 40 HOT 2
- About the subtract mean HOT 1
- A question on the FineTuning process of the regular CNN HOT 2
- Install dependencies problem HOT 3
- Rendered Images for Shrec17
- shapenet55 test label HOT 1
- Fail in generating the rendered images HOT 3
- How to reproduce retrieval results? HOT 1
- What's the meaning of 'relative magnitude of gradient energy' ? HOT 4
- How to reproduce retrieval results?
- Unrecognized field name "learningRate". HOT 2
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