methodology-18
Novel Class Discovery
3260 papers • 126 benchmarks • 313 datasets
The goal of Novel Class Discovery (NCD) is to identify new classes in unlabeled data, by exploiting prior knowledge from known classes. In this specific setup, the data is split in two sets. The first is a labeled set containing known classes and the second is an unlabeled set containing unknown classes that must be discovered.
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Benchmarks
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cifar10
cifar10
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SVHN
SVHN
Libraries
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