To address this issue, we propose a pre-training encoder-decoder model Predformer. Inspired by contrastive learning methods, our research in the pre-training encoder phase involves comparing the ...

When I pass a certain series to the explainer and plot variable selection, I get a graph of variable importance for encoder and decoder, where encoder contains ... I am trying to think of a good way ...

Of course, it’s not that easy: There is a big difference between ... Rather, they leverage either encoder-decoder pairs or first-order motion models. Let’s explain what both of those are.

264 encoders typically used for live streaming. I also want to explain why all of this matters ... And as you can see, while there’s marginal differences between these two specific presets ...

And third, they only captured the relations between ... difference between its output and the expected outcome. This feedback enables the transformer to modify the parameters of the encoder and ...

Abstract: Image anomaly detection problems aim to determine whether an image is abnormal, and to detect anomalous areas. These methods are actively used in various fields such as manufacturing, ...