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ZhiwenShao avatar ZhiwenShao commented on August 18, 2024

Thanks for your question. Here are the responses:

  1. The DISFA model is trained from the best BP4D model. In our experiments, we use the model trained on the combination of BP4D part1 and part3. We do not use the whold BP4D dataset.
  2. The results of our trained DISFA models (3-fold cross-validation) are:
    f1_score accuracy mean_error failure_rate
    0.577556 0.929593 0.043427 0.000000
    0.656207 0.939148 0.044319 0.000099
    0.671716 0.950716 0.042331 0.000162
    ==============================
    0.635159666666667 0.939819000000000 0.0433590000000000 8.70000000000000e-05
  3. The local f1 score is generally worse than f1 score.

from pytorch-jaanet.

tghim avatar tghim commented on August 18, 2024

Thank you for your answer!
It helps me a lot

from pytorch-jaanet.

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