Update README.md

README.md

@@ -1,5 +1,53 @@
 ---
 license: other
-license_name: adelaidet
+license_name: adelaidet-noncommercial
 license_link: LICENSE
+tags:
+  - scene-text-detection
+  - detection-transformer
+  - pytorch
 ---
+
+# DPText-DETR (mirror)
+
+This repository is an **archival mirror of pretrained weights** from the official
+[DPText-DETR](https://github.com/ymy-k/DPText-DETR) repository. No changes have been
+made to the weights themselves; they are re-hosted here for long-term preservation
+as part of a personal project.
+
+- **Original paper:** Ye, M., Zhang, J., Zhao, S., Liu, J., Du, B., & Tao, D. (2023).
+  *DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer.*
+  AAAI 2023 (Oral).
+- **Original code:** https://github.com/ymy-k/DPText-DETR
+- **Checkpoint in this repo:** `art_final.pth` — the fine-tuned model for the
+  ICDAR19 ArT benchmark, as released by the original authors.
+- **All credit** for the model architecture, training, and weights belongs to the
+  original authors. This repo makes no claim of authorship over the model.
+
+## License
+
+These weights are distributed under the original **AdelaiDet non-commercial license**
+(see the [`LICENSE`](./LICENSE) file in this repo). In short:
+
+- Free to use, copy, and redistribute for **non-commercial / research purposes**,
+  provided the copyright notice and disclaimer are retained.
+- **Commercial use is not permitted** under this license. For a commercial license,
+  contact the original AdelaiDet authors (chhshen@gmail.com), as noted in the LICENSE file.
+
+This mirror does not alter or override those terms.
+
+## Citation
+
+If you use this model, please cite the original paper:
+
+```bibtex
+@inproceedings{ye2022dptext,
+  title={DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer},
+  author={Ye, Maoyuan and Zhang, Jing and Zhao, Shanshan and Liu, Juhua and Du, Bo and Tao, Dacheng},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={37},
+  number={3},
+  pages={3241--3249},
+  year={2023}
+}
+```