Diffusion meets Object Detection
DiffusionDet: Diffusion Model for Object Detection
• It formulates object detection as a denoising diffusion process
from noisy boxes to object boxes
• At training, object boxes diffuse from ground-truth boxes to random distribution
• The model learns to reverse this noising process
• During inference, the model gradually refines a set of randomly generated boxes to refine the results
• DiffusionDet has better COCO metric scores compared to many classical object detection models
abs: https://arxiv.org/abs/2211.09788
pdf: https://arxiv.org/pdf/2211.09788.pdf
source code: https://github.com/ShoufaChen/DiffusionDet