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Found 3 papers, 1 papers with code
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets.
Talking Head from Speech Audio using a Pre-trained Image Generator
We train a recurrent neural network to map from speech utterances to displacements in the latent space of the image generator.
Fine-grained differentiable physics: a yarn-level model for fabrics
To this end, we propose several differentiable forces, whose counterparts in empirical physics are indifferentiable, to facilitate gradient-based learning.
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