3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

WACV, pp. 3635-3644, 2020.

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摘要

While making a tremendous impact in various fields, deep neural networks usually require large amounts of labeled data for training which are expensive to collect in many applications, especially in the medical domain. Unlabeled data, on the other hand, is much more abundant. Semi-supervised learning techniques, such as co-training, cou...更多

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