Open li12138cmd opened 2 weeks ago
Hi @li12138cmd, we mentioned in our Section 5.2 that, for each pseudo-labeled sample, we ignore its top-n-largest-loss regions during training, where n is set as 10%. We consider them as potentially noisy pseudo labels.
Hello, thank you very much for your work. I would like to ask, after using the teacher model to assign pseudo labels to the unlabeled data, will the images with prediction errors be filtered out? Or are they all directly fed into the network for learning?