SOTAVerified

Novel Class Discovery

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.

Papers

Showing 6165 of 65 papers

TitleStatusHype
Novel Class Discovery without Forgetting0
Mutual Information-guided Knowledge Transfer for Novel Class Discovery0
Open Set Domain Adaptation By Novel Class Discovery0
Open-Set Representation Learning through Combinatorial Embedding0
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoNovelClustering Accuracy0.92Unverified
#ModelMetricClaimedVerifiedStatus
1AutoNovelClustering Accuracy0.75Unverified
#ModelMetricClaimedVerifiedStatus
1AutoNovelClustering Accuracy0.95Unverified