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Found 3 papers, 2 papers with code
BugNIST - a Large Volumetric Dataset for Object Detection under Domain Shift
Annotated training data is essential for deep learning-based object detection.
A Physical Model for Microstructural Characterization and Segmentation of 3D Tomography Data
Instead, the material parameters are quantified through their known relation to parameters of our model which is fitted directly to the raw, unsegmented data.
Materials Science Image and Video Processing
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
Since we combine a limited amount of user-labelled data with the clustering information obtained from the unlabelled parts of the image, our method fits in the general framework of semi-supervised learning.
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