meta / mask2former

Masked-attention Mask Transformer for Universal Image Segmentation

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Examples

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Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation

Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar

[arXiv] [Project] [BibTeX]

Features

  • A single architecture for panoptic, instance and semantic segmentation.
  • Support major segmentation datasets: ADE20K, Cityscapes, COCO, Mapillary Vistas.
@article{cheng2021mask2former,
  title={Masked-attention Mask Transformer for Universal Image Segmentation},
  author={Bowen Cheng and Ishan Misra and Alexander G. Schwing and Alexander Kirillov and Rohit Girdhar},
  journal={arXiv},
  year={2021}
}