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 5160 of 65 papers

TitleStatusHype
Novel Class Discovery without Forgetting0
Class-incremental Novel Class DiscoveryCode1
Towards Realistic Semi-Supervised LearningCode1
Mutual Information-guided Knowledge Transfer for Novel Class Discovery0
Spacing Loss for Discovering Novel CategoriesCode2
Open Set Domain Adaptation By Novel Class Discovery0
Divide and Conquer: Compositional Experts for Generalized Novel Class DiscoveryCode1
Novel Class Discovery in Semantic SegmentationCode1
A Unified Objective for Novel Class DiscoveryCode1
AutoNovel: Automatically Discovering and Learning Novel Visual CategoriesCode1
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Benchmark Results

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