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Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Against this backdrop, we construct a more \emph{Realistic Open-world Long-tailed Semi-supervised Learning} (\textbf{ROLSSL}) setting where there is no premise on the distribution relationships between known and novel categories.
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
The Mean Teacher generates prototypes for labeled and unlabeled data, while the auxiliary network produces additional prototypes for mixed data processed by CutMix.
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Although the existing uncertainty-based semi-supervised medical segmentation methods have achieved excellent performance, they usually only consider a single uncertainty evaluation, which often fails to solve the problem related to credibility completely.
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
And some other kinds of methods neglect the relationship among three variables of pythagorean fuzzy set.
