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I watch the model code roughly. I think this method is just using a 3D-CNN classifier. That is, give some video as input and labels as output for CNN and force it to fit the dataset unreasonably.
Is my understanding correct?
The text was updated successfully, but these errors were encountered:
Hi @lulujianjie ,
The general idea is correct, but with a sufficiently large dataset trimmed to include only key events in a play, and by monitoring performance on an unrelated validation set, we can prevent overfitting.
I think that much of the error in predictions on the validation and test sets can be attributed to the quality of the downsampled videos used to limit model size.
Hi, Neeilan,
I watch the model code roughly. I think this method is just using a 3D-CNN classifier. That is, give some video as input and labels as output for CNN and force it to fit the dataset unreasonably.
Is my understanding correct?
The text was updated successfully, but these errors were encountered: