A hyper-network that predicts segmentation UNet weights from per-sample learned latent vectors yields a structured map of annotation styles and a way to flag erroneous labels.
In: Medical Imaging with Deep Learn- ing (2024), https://openreview.net/forum?id=sfjgmuvLS7
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HyperSORT: Self-Organising Robust Training with hyper-networks
A hyper-network that predicts segmentation UNet weights from per-sample learned latent vectors yields a structured map of annotation styles and a way to flag erroneous labels.