anomaly_transformer_pytorch
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Hi, I have a question !
Your research is very impressive and wonderful. However, I have one question while reading the paper.
in this paper, For the maximize phase, we optimize the series-association to enlarge the association discrepancy. This process forces the series-association to pay more attention to the non-adjacent horizon.
Maximize phases seem to focus more on series-association on adjacent horizon, but why is this non-adjacent horizon?
In my opinion, if the sigma of the prior association is much less than 1, the series association will only look at more adjacent areas.
Thank you