You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
First of all, thank you for your excellent work, and I'd like to ask you a few questions
1、When I trained the second stage according to the pare training config, I found that the loss continued to decrease, but the result getting worse
2、The training used eft 、coco pretrain、pare mixdataset setting,But the lspet dataset is not used,the best result of majpe is epoch 0 82.15(pymafx paper 79.7),Is the difference of lspet dataset so much?
3、If possible, could you please send me the download link of lspet? Now the official website is invalid
this is my email 2705837989@qq.com,thanks very much!
The text was updated successfully, but these errors were encountered:
The result gets worse because the data distribution of 3DPW differs with Human3.6M. So the decreasing loss means that the model is better fitted to the Human3.6M dataset but not 3DPW.
Is the Spatial Alignment Attention used in your experiments? The majpe of 79.7 is the performance of PyMAF with Spatial Alignment Attention. The lspet dataset may not be the main reason for the performance gap.
I will send you the link in a couple of days.
Thanks!
First of all, thank you for your excellent work, and I'd like to ask you a few questions
1、When I trained the second stage according to the pare training config, I found that the loss continued to decrease, but the result getting worse
2、The training used eft 、coco pretrain、pare mixdataset setting,But the lspet dataset is not used,the best result of majpe is epoch 0 82.15(pymafx paper 79.7),Is the difference of lspet dataset so much?
3、If possible, could you please send me the download link of lspet? Now the official website is invalid
this is my email 2705837989@qq.com,thanks very much!
The text was updated successfully, but these errors were encountered: