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Found 3 papers, 1 papers with code
Application of Deep Learning Methods to Processing of Noisy Medical Video Data
Cells count become a challenging problem when the cells move in a continuous stream, and their boundaries are difficult for visual detection.
Awareness of uncertainty in classification using a multivariate model and multi-views
The proposed model regularizes uncertain predictions, and trains to calculate both the predictions and their uncertainty estimations.
Cross-Modal Conceptualization in Bottleneck Models
Concept Bottleneck Models (CBMs) assume that training examples (e. g., x-ray images) are annotated with high-level concepts (e. g., types of abnormalities), and perform classification by first predicting the concepts, followed by predicting the label relying on these concepts.
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