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✨ 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