EricGuo5513 / momask-codes

Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
https://ericguo5513.github.io/momask/
MIT License
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About the training loss of Masked Transformer and Residual Transformer. #55

Open bob35buaa opened 2 weeks ago

bob35buaa commented 2 weeks ago

I'm trying to replicate the results on the KIT dataset, but I've observed that the training and validation classification accuracy of the Masked Transformer and Residual Transformer are not very high. Specifically, the validation classification accuracy is extremely low (below 20% for Masked Transformer and below 10% for Residual Transformer), and the animation results are also unreasonable. Is this normal? This is the tensorboard logging of Masked Transformer: 215028101a80fc92b22b413397d971c And this is the tensorboard logging of Residual Transformer: b62dfbda0c299cbffd025964516436a

HitBadTrap commented 3 days ago

Have you addressed this problem or is this issue acceptable? @bob35buaa

Thanks.

bob35buaa commented 3 days ago

Have you addressed this problem or is this issue acceptable? @bob35buaa

Thanks.

No, the author hasn't reply this question.