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.
Frontiers of Computer Science19(9), 199705 (Jan 2025)
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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.