Comments (2)
- In my practice, replacing MSE with L1 loss is not a good solution because it may be hard to optimize. I have seen some papers using MSE+L1 loss, which seems to work well.
- I would like to suggest you refer to our manuscript: SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. The most important component is the
Translator
. Using vanilla conv as the translator usually fails. IncepU translator focuses on multi-scale feature learning and thus has great ability in long-range modeling. Our new gSTA translator is inspired by large kernel convs, and models long-range interactions in a more efficient way.
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I will close this issue if there is no more question. Please feel free to open a new issue when you have new questions.
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