Hello,
Thanks for your great work. I have a quesion regarded to the following paragraph.
In your paper, the negative pseudo-label indicates the most confident label (top-1 label) predicted by the network with a confidence lower than the threshold τ. However, it may seem counterintuitive that the negative pseudo-label is unlikely to be correct. Despite having a low confidence value, it still possesses the highest prediction value among all categories.
I'm feeling a bit puzzled; could you provide me with some guidance or instructions?
Hello, Thanks for your great work. I have a quesion regarded to the following paragraph.
In your paper, the negative pseudo-label indicates the most confident label (top-1 label) predicted by the network with a confidence lower than the threshold τ. However, it may seem counterintuitive that the negative pseudo-label is unlikely to be correct. Despite having a low confidence value, it still possesses the highest prediction value among all categories. I'm feeling a bit puzzled; could you provide me with some guidance or instructions?