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Chapter and Conference Paper
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
A critical limitation of current methods based on Neural Radiance Fields (NeRF) is that they are unable to quantify the uncertainty associated with the learned appearance and geometry of the scene. This inform...
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Chapter and Conference Paper
Prediction Stability as a Criterion in Active Learning
Recent breakthroughs made by deep learning rely heavily on a large number of annotated samples. To overcome this shortcoming, active learning is a possible solution. Besides the previous active learning algori...