Mask2Former Swin-Tiny (COCO Instance) weights — acaua mirror
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This product includes model weights developed by the following parties:

 - Meta AI Research / FAIR (Mask2Former authors)
   Reference implementation and released weights.
   https://github.com/facebookresearch/Mask2Former
   Cheng et al., "Masked-attention Mask Transformer for Universal
   Image Segmentation", CVPR 2022, arXiv:2112.01527.

 - Swin Transformer authors
   Liu et al., "Swin Transformer: Hierarchical Vision Transformer
   using Shifted Windows", ICCV 2021, arXiv:2103.14030.

 - Hugging Face (integration into 🤗 Transformers, weight conversion,
   model card on facebook/mask2former-swin-tiny-coco-instance)
   https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance

License notes
-------------
The reference implementation at facebookresearch/Mask2Former is released
under the MIT License. The pretrained weights redistributed here (as hosted
upstream on facebook/mask2former-swin-tiny-coco-instance) are declared
Apache-2.0 in the upstream model card YAML. This mirror preserves that
declaration.

Attribution chain
-----------------
Mirrored on 2026-04-17 by CondadosAI from:

    repo:   facebook/mask2former-swin-tiny-coco-instance
    commit: 22c4a2f15dc88149b8b8d9f4d42c54431fbd66f6
    date:   2023-09-11

No weights or configuration have been modified. This mirror exists to pin
a specific revision for reproducible, audit-clean use by the acaua library
(https://github.com/CondadosAI/acaua).

License
-------
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.