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Found 2 papers, 1 papers with code
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels
This paper discusses the effects of frugal labeling and proposes to train neural networks for multi-class semantic segmentation on heterogeneously labeled data based on a novel objective function.
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2D Semantic Segmentation
on Extended heartSeg
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Recent research in the field of computer vision strongly focuses on deep learning architectures to tackle image processing problems.
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