First of all thanks for your work, the paper is super interesting and I would like to employ something similar to your box renewal in my research. But from the paper and the code to me is not intuitive how it works.
My intuition is that GT bboxes have a high confidence at the beginning, while padded bboxes should have a low confidence.
What is not clear is how to handle the confidence in the diffusion process, does also the confidence get noised by the process and do you try to reverse it? If this is the case, could it be that in the reverse process, due to the fluctuations of it, you reject some bboxes which could be ok?
First of all thanks for your work, the paper is super interesting and I would like to employ something similar to your box renewal in my research. But from the paper and the code to me is not intuitive how it works. My intuition is that GT bboxes have a high confidence at the beginning, while padded bboxes should have a low confidence. What is not clear is how to handle the confidence in the diffusion process, does also the confidence get noised by the process and do you try to reverse it? If this is the case, could it be that in the reverse process, due to the fluctuations of it, you reject some bboxes which could be ok?
Thanks in advance!