ShoufaChen / DiffusionDet

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
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Question about confidence #32

Open Fodark opened 1 year ago

Fodark commented 1 year ago

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!

ShoufaChen commented 1 year ago

Hi,

Thanks for your interest in our work.

We didn't try to denoise the confidence in this version.

We think it is an interesting idea to diffuse the confidence score.