Closed ch1998 closed 2 years ago
Your code is wonderful。 In the paper,you report results whenusing 1%, 5%, 10% and 20% of the training data with labels for NTU RGB+60。 I hope to how adjust the percentage of the training data?
@ch1998 you can randomly select any 5% of training examples during the fine-tuning step. However for reproducibility seed the random generator.
I get it. Thank you!
Your code is wonderful。 In the paper,you report results whenusing 1%, 5%, 10% and 20% of the training data with labels for NTU RGB+60。 I hope to how adjust the percentage of the training data?