GEM

Todo list
  • Release code and GEM-Tiny checkpoint

  • Release S-GSD dataset

  • Release multiple pre-trained models

  • Release GEM-Base model


Installation

See Mask DINO.

GEM


Results

Results


Qualitative_comparisons


synthetic_Data

Citing Mask DINO

If you find our work helpful for your research, please consider citing the following BibTeX entry.

@misc{li2022mask,
      title={Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation}, 
      author={Feng Li and Hao Zhang and Huaizhe xu and Shilong Liu and Lei Zhang and Lionel M. Ni and Heung-Yeung Shum},
      year={2022},
      eprint={2206.02777},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

If you find the code useful, please also consider the following BibTeX entry.

@misc{li2022mask,
      title={Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation}, 
      author={Feng Li and Hao Zhang and Huaizhe xu and Shilong Liu and Lei Zhang and Lionel M. Ni and Heung-Yeung Shum},
      year={2022},
      eprint={2206.02777},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Acknowledgement

Many thanks to these excellent opensource projects