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Model card: canonical template, code authors, arXiv citation

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@@ -12,27 +12,35 @@ pipeline_tag: object-detection
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  # TRUE-Colon — RT-DETR (REAL-Colon, seed 0)
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- RT-DETR trained on the **REAL-Colon** dataset of 60 complete, unedited colonoscopy
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- procedures, released alongside the TRUE-Colon evaluation protocol
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- (MICCAI 2026 EndoLINA workshop).
 
 
 
 
 
 
 
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  This is one of three seeds. Reporting a single seed of this model in isolation would
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  overstate its precision; the paper aggregates all three.
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  ## Model Details
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- - **Developed by:** Chair of Explainable Machine Learning, Otto-Friedrich-University Bamberg
 
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  - **Model type:** Single-class object detector (`lesion`)
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  - **License:** AGPL-3.0, inherited from Ultralytics. This is **not** the MIT license of the
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- `true_colon` evaluation package. Using these weights in a product carries the AGPL's
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- source-availability obligations.
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  - **Framework:** Ultralytics
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  ### Model Sources
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  - **Paper:** https://arxiv.org/abs/2608.13711
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  - **Repository:** https://github.com/sdoerrich97/true-colon
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- - **Protocol package:** https://pypi.org/project/true-colon/
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  ### Architecture and training
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@@ -118,19 +126,19 @@ card, because a single seed's values are not the quantity the paper reports.
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  ## Citation
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  ```bibtex
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- @inproceedings{doerrich2026truecolon,
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- title = {TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection},
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- author = {Doerrich, Sebastian and Schwab, Andreas Franz and Di Salvo, Francesco
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- and Rai, Shyam Nandan and Nguyen, Hanh Huyen My and Ledig, Christian},
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- booktitle = {MICCAI Workshop on Endoscopic Lesion Identification and Analysis (EndoLINA)},
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- year = {2026},
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- eprint = {2608.13711},
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- archivePrefix = {arXiv},
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- primaryClass = {eess.IV},
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- doi = {10.48550/arXiv.2608.13711}
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  }
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  ```
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- ## Contact
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- sebastian.doerrich@uni-bamberg.de
 
 
 
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  # TRUE-Colon — RT-DETR (REAL-Colon, seed 0)
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+ Official weights for **TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time
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+ Polyp Detection** (MICCAI 2026 EndoLINA Workshop). This repo holds the **`rtdetr`**
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+ detector at **seed 0**, trained on REAL-Colon: 60 complete, unedited colonoscopy
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+ procedures rather than curated lesion-centric clips.
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+
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+ TRUE-Colon is an evaluation protocol first. Its finding is that detectors trained on
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+ curated benchmarks collapse on full procedures, while procedure-trained models like this
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+ one suppress non-polyp content and still transfer back to curated data. The detector itself
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+ is an off-the-shelf RT-DETR: what is released here is a baseline trained under the
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+ paper's protocol, not a new architecture.
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  This is one of three seeds. Reporting a single seed of this model in isolation would
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  overstate its precision; the paper aggregates all three.
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  ## Model Details
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+ - **Developed by:** Sebastian Doerrich, Andreas Franz Schwab (xAILab, University of Bamberg)
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+ - **Funded by:** Hightech Agenda Bayern (HTA) of the Free State of Bavaria, Germany
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  - **Model type:** Single-class object detector (`lesion`)
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  - **License:** AGPL-3.0, inherited from Ultralytics. This is **not** the MIT license of the
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+ `true_colon` evaluation package (© Sebastian Doerrich, Andreas Franz Schwab). Using these
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+ weights in a product carries the AGPL's source-availability obligations.
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  - **Framework:** Ultralytics
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  ### Model Sources
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  - **Paper:** https://arxiv.org/abs/2608.13711
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  - **Repository:** https://github.com/sdoerrich97/true-colon
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+ - **Package:** https://pypi.org/project/true-colon/
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  ### Architecture and training
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  ## Citation
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  ```bibtex
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+ @article{doerrich2026truecolon,
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+ title={TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection},
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+ author={Sebastian Doerrich and Andreas Franz Schwab and Francesco {Di Salvo} and Shyam Nandan Rai and Hanh Huyen My Nguyen and Christian Ledig},
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+ year={2026},
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+ eprint={2608.13711},
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+ archivePrefix={arXiv},
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+ primaryClass={eess.IV},
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+ url={https://arxiv.org/abs/2608.13711},
 
 
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  }
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  ```
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+ ## Model Card Contact
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+ For questions or issues, please open an issue in the
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+ [GitHub repository](https://github.com/sdoerrich97/true-colon), or contact
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+ sebastian.doerrich@uni-bamberg.de.