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OdaxAI
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venice-h1

Image Segmentation
PyTorch
English
referring-image-segmentation
reranking
failure-detection
multi-scale
vision-language
Model card Files
xet
 Community
venice-h1

Commit History

  1. Add all paper figures to model card with arXiv:2606.22546

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  2. Add paper figure: medical_cross_domain.png

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  3. Add paper figure: ablation_study.png

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  4. Add paper figure: coverage_risk.png

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  5. Add paper figure: roc_curves.png

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  6. Add paper figure: per_split_improvement.png

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  7. Add paper figure: qualitative_examples.jpg

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  8. Add paper figure: grid_cells_detail_v2.png

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  9. Add paper figure: grid_signature_vis.png

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  10. Add paper figure: iou_scatter_analysis.png

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  11. Add paper figure: error_budget.png

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  12. Add paper figure: architecture_overview.png

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  13. Update arXiv ID to 2606.22546 (paper now live)

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  1. Update model card: OdaxAI Research branding, reproduce_results.py reference

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  2. Update model card: OdaxAI S.R.L. branding, full address and email

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  3. Update model card with exact paper metrics from trained checkpoint

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  4. Upload canonical checkpoint with full metrics metadata (DeRIS-L, epoch=8, AUC=0.78)

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  5. Add metrics for DeRIS-L checkpoint

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  6. Add trained checkpoint: DeRIS-L backbone (∆_fail=+1.40, AUC=0.80)

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  7. Update model card with full dependencies and reproduction guide

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  8. Add requirements.txt

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  9. Add evaluate.py

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  10. Add train.py

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  11. Add scripts/extract_features.py

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  12. Add venice_h1/__init__.py

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  13. Add venice_h1/model/__init__.py

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  14. Add venice_h1/model/grid_signatures.py

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  15. Add venice_h1/model/reranker.py

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  16. Add config.yaml

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  17. Add odaxai_spiral.png

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  18. Add qualitative_examples.jpg

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  19. Add architecture_overview.png

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  20. Add README.md

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  21. initial commit

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