Add pipeline tag and paper link
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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Pre-trained weights of Pix2Rep-v2 (MICCAI 2026) pre-training on the AASCE 2019 dataset. Pix2Rep-v2 pre-training provides powerful pixel-level embeddings suitable across dense prediction tasks.
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These weights can be used as initialization for training Pix2Point (faster convergence and better results on spinal landmark detection).
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See https://github.com/BioMedTP/Pix2Point for details on how to use the pre-trained model.
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license: apache-2.0
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pipeline_tag: keypoint-detection
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Pre-trained weights of Pix2Rep-v2 (MICCAI 2026) pre-training on the AASCE 2019 dataset. Pix2Rep-v2 pre-training provides powerful pixel-level embeddings suitable across dense prediction tasks.
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These weights can be used as initialization for training Pix2Point (faster convergence and better results on spinal landmark detection).
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This model is presented in the paper [Dense Representation Learning and Differentiable Shape Modeling for Spine Landmark Detection](https://huggingface.co/papers/2610.36951).
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See https://github.com/BioMedTP/Pix2Point for details on how to use the pre-trained model.
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