DiffusionDet: Diffusion Model for Object Detection

DiffusionDet is a new framework that formulates object detection as a denoising diffusion process from noisy boxes to object boxes.

Data and Resources

Cite this as

Shoufa Chen, Peize Sun, Yibing Song, Ping Luo (2024). Dataset: DiffusionDet: Diffusion Model for Object Detection. https://doi.org/10.57702/gbhq6si4

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2211.09788
Author Shoufa Chen
More Authors
Peize Sun
Yibing Song
Ping Luo
Homepage https://github.com/ShoufaChen/DiffusionDet