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Found 3 papers, 1 papers with code
Learning to segment from object sizes
We propose an algorithm for training a deep segmentation network from a dataset of a few pixel-wise annotated images and many images with known object sizes.
Fast learning from label proportions with small bags
In learning from label proportions (LLP), the instances are grouped into bags, and the task is to learn an instance classifier given relative class proportions in training bags.
Automatic evaluation of human oocyte developmental potential from microscopy images
Infertility is becoming an issue for an increasing number of couples.
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