Some questions about tgs-salt-identification HOT 4 CLOSED

Hi, Bonsen

1. The data distill part is based on the result of ensemble models + jigsaw post processing. We will update this part in few days.
2. Sorry for the misunderstanding, the model101 we use in final distilling is se-resnet101, but I think other 101 layer network can achieve same results.
3. Early experiment showed ibna based networks outperform the ibnb ones, we excluded them from our list.
4. We do not select any cycle or fold, just voting across 10fold*7cycle (I think it's not the best way).

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Hi, @SeuTao

In line 437 of main.py, It seems generates 10 .csv for each fold? So, do u have 100 .csv for 10 fold?

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We do 5fold at first，then we change into 10fold9cycle. That function gets the 9 cycle test csvs of the current fold. In our final solution, we actually perform 10fold7cycle. It's a mistake "9", sorry for that.

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Hi, @SeuTao,

Waiting for the new code of "10fold7cycle", "Data distill (Pseudo Labeling)" and Post processing.

Thanks!

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