BIGWangYuDong / DiffusionDet

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

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DiffusionDet: Diffusion Model for Object Detection

DiffusionDet is the first work of diffusion model for object detection.

DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
arXiv 2211.09788

Updates

  • (11/2022) Code is released.

Models

Method Box AP (1 step) Box AP (4 step) Download
COCO-Res50 45.5 46.1 model
COCO-Res101 46.6 46.9 model
COCO-SwinBase 52.3 52.7 model
LVIS-Res50 30.4 31.8 model
LVIS-Res101 31.9 32.9 model
LVIS-SwinBase 40.6 41.9 model

Getting Started

The installation instruction and usage are in Getting Started with DiffusionDet.

License

This project is under the CC-BY-NC 4.0 license. See LICENSE for details.

Citing DiffusionDet

If you use DiffusionDet in your research or wish to refer to the baseline results published here, please use the following BibTeX entry.

@article{chen2022diffusiondet,
      title={DiffusionDet: Diffusion Model for Object Detection},
      author={Chen, Shoufa and Sun, Peize and Song, Yibing and Luo, Ping},
      journal={arXiv preprint arXiv:2211.09788},
      year={2022}
}

About

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

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Language:Python 100.0%