I also try to train the model on ScanobjectNN ds with the hyperparameter for 200 epochs. But there is a degree of over-fitting. Are there any methods to alleviate this problem and could you analyse why the over-fitting is more significant on this dataset? Because ScanObjectNN is actually more complex and challenging than ModelNet40.
Hi, thanks for the issue. Currently no specific idea on this. However, both ModelNet40 and ScanObjectNN are small datasets, probably we need a significantly larger dataset.
Thanks so much for your work! @ma-xu
I also try to train the model on ScanobjectNN ds with the hyperparameter for 200 epochs. But there is a degree of over-fitting. Are there any methods to alleviate this problem and could you analyse why the over-fitting is more significant on this dataset? Because ScanObjectNN is actually more complex and challenging than ModelNet40.
Many thanks in advance.