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Add pipeline tag and improve model card (#1)

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- Add pipeline tag and improve model card (03f0f4f959f7ccf9a4437c33fe25b94d3c406028)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +18 -3
README.md CHANGED
@@ -1,11 +1,26 @@
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  ---
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  license: cc-by-nc-4.0
 
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  ---
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- # CylinderDepth
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-
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  **CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation**
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-
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  [Project Page](https://abualhanud.github.io/CylinderDepthPage/) | [Paper](https://arxiv.org/abs/2511.16428) | [Supplementary Material](https://arxiv.org/src/2511.16428v3/anc/CylinderDepth_supp.pdf) | [Code](https://github.com/abualhanud/CylinderDepth)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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+ pipeline_tag: depth-estimation
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  ---
 
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+ # CylinderDepth
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  **CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation**
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  [Project Page](https://abualhanud.github.io/CylinderDepthPage/) | [Paper](https://arxiv.org/abs/2511.16428) | [Supplementary Material](https://arxiv.org/src/2511.16428v3/anc/CylinderDepth_supp.pdf) | [Code](https://github.com/abualhanud/CylinderDepth)
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+ CylinderDepth is a geometry-guided method for calibrated, time-synchronized multi-camera rigs that predicts dense metric depth. It addresses depth inconsistency across views by extending the receptive field and applying a cylindrical spatial attention mechanism that aggregates features across images according to their distances on a shared cylinder.
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+ ## Citation
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+ If you find this work useful, please cite our paper:
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+
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+ ```bibtex
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+ @InProceedings{Abualhanud2026,
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+ author = {Abualhanud, Samer and Grannemann, Christian and Mehltretter, Max},
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+ booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops},
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+ title = {CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation},
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+ year = {2026},
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+ note = {Accepted for publication.}
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+ }
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+ ```