Thank you for your great work!
In your code I notice that you divide the S3DIS dataset into train set and val set(area 5, like other projects have done). But when a new active learning iteration begins , you choose the checkpoint that performs the best miou in val set to initialize parameters this iteration. I'm wondering if this may causes information leakage and makes the model overfitting.
Thank you for your great work!
In your code I notice that you divide the S3DIS dataset into train set and val set(area 5, like other projects have done). But when a new active learning iteration begins , you choose the checkpoint that performs the best miou in val set to initialize parameters this iteration. I'm wondering if this may causes information leakage and makes the model overfitting.