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 110 of 65 papers

TitleStatusHype
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality PropagationCode2
Spacing Loss for Discovering Novel CategoriesCode2
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial ScenariosCode2
Divide and Conquer: Compositional Experts for Generalized Novel Class DiscoveryCode1
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class DiscoveryCode1
Parametric Classification for Generalized Category Discovery: A Baseline StudyCode1
Class-incremental Novel Class DiscoveryCode1
AutoNovel: Automatically Discovering and Learning Novel Visual CategoriesCode1
A Unified Objective for Novel Class DiscoveryCode1
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised LearningCode1
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Benchmark Results

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