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
Open-Set Representation Learning through Combinatorial Embedding0
Neighborhood Contrastive Learning for Novel Class DiscoveryCode1
Meta Discovery: Learning to Discover Novel Classes given Very Limited DataCode1
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal ImagesCode1
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World0
Show:102550
← PrevPage 7 of 7Next →

Benchmark Results

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