Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
[arXiv
]
- A single architecture for three tasks: panoptic, instance and semantic segmentation. This straightforward mini project was built as part of the main project, IST: A TensorFlow 2 compatible instance segmentation toolbox, with the purpose of adapting recent research into segmentation approaches into TensorFlow.
- Support common benchmark datasets: ADE20K, Cityscapes, COCO, Mapillary Vistas.
Project is currently being built, with SwinTransformerV1 and SwinTransformerV2 and a few bits and pieces ready.
The majority of MaskFormer is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
However portions of the project are available under separate license terms: Swin-Transformer-Semantic-Segmentation is licensed under the MIT license.
@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}
}