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About training details and performance #31
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@willie1997 @hsyntemiz @mehameha998 |
@zhaoyang10 what do u mean by 2d datasets? |
It means datasets with only 2d lables, such as COCO, lsp and so on. |
@zhaoyang10 ok,,,,i think the model is for 2d input images ,, i did not read this work completely,,but, my understanding is this |
@zhaoyang10 do you use wechat? |
You can send me e-mails. It's not convenient to release my wechat directly. |
@zhaoyang10 my email sm_Adnan21@hotmail.com |
@zhaoyang10 added |
do you have the training datasets? |
could you help me run the code? I am terrible. Thank you very much! |
Hello @MandyMo ,
Thank you for releasing the code, it is a really great work.
I trained with this code and got reasonable results on 3d datasets, but terrible results on 2d datasets. The losses all seem stable. Then I tried to change hyperparameters, but the results on 2d datasets were far from good. I don't know whether it's normal or not. Really confused.
How is the performance of your pre-trained model?
What's your performance on training set and testing set of 2d datasets?
Can you share the hyperparameter setting or give some instructions?
Thanks a lot! Following are my training details and results.
Training results from 3d datasets, they seem reasonable.
Training results from 2d datasets, they seem terrible, but the loss for 2d points keeps stable.
Training results from 2d datasets:
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