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Interlagos avatar Interlagos commented on September 24, 2024

Thanks for your attention to our work.

We recommend training TENet with the default hyper-parameters in this repo, especially the weight decay is set to 4e-5 instead of 1e-4, which affects the result a lot.

We retrain the following models 10 times, respectively. Here is the result:

TENet12_MTConv TENet12 TENet6_MTConv TENet6
no.1 96.7543 96.6569 96.7218 96.5920
no.2 96.9815 96.4946 96.7868 96.3648
no.3 97.1438 96.3973 96.6245 96.3973
no.4 96.8517 96.2025 96.2999 96.4946
no.5 96.8814 96.5271 96.2350 96.4622
no.6 96.5920 96.8192 96.6569 96.7868
no.7 96.5324 96.8841 97.1762 96.2674
no.8 96.6569 96.4622 96.4297 96.6245
no.9 97.0464 96.5271 96.5271 96.5271
no.10 96.6569 96.4946 96.7543 96.5271
mean 96.8097 96.5466 96.6212 96.5044

Hope it can help you.

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l2009312042 avatar l2009312042 commented on September 24, 2024

thanks for your advice

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