Novel Class Discovery
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Benchmarks
Most implemented
A Practical Approach to Novel Class Discovery in Tabular Data
Class-relation Knowledge Distillation for Novel Class Discovery
Novel Class Discovery: an Introduction and Key Concepts
A Method for Discovering Novel Classes in Tabular Data
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Papers
Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation
Novel class discovery in point cloud segmentation aims to transfer knowledge from known classes to automatically identify and segment unlabeled novel classes in point clouds. Existing methods mainly rely on pairwise asso…
Point Cloud SegmentationNovel Class DiscoverySemantic SegmentationPoint CloudsGOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
Continual Generalized Category Discovery (C-GCD) requires identifying novel classes from unlabeled data while retaining knowledge of known classes over time. Existing methods typically update classifier weights dynamical…
Novel Class DiscoveryVLM-NCD:Novel Class Discovery with Vision-Based Large Language Models
Novel Class Discovery aims to utilise prior knowledge of known classes to classify and discover unknown classes from unlabelled data. Existing NCD methods for images primarily rely on visual features, which suffer from l…
Novel Class DiscoveryImage-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning
Integrated circuit manufacturing is highly complex, comprising hundreds of process steps. Defects can arise at any stage, causing yield loss and ultimately degrading product reliability. Supervised methods require extens…
Self-Supervised LearningNovel Class DiscoveryNovel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
In this paper, we focus on Novel Class Discovery for Point Cloud Segmentation (3D-NCD), aiming to learn a model that can segment unlabeled (novel) 3D classes using only the supervision from labeled (base) 3D classes. The…
Point Cloud SegmentationNovel Class DiscoverySemantic SegmentationHow many classes do we need to see for novel class discovery?
Novel class discovery is essential for ML models to adapt to evolving real-world data, with applications ranging from scientific discovery to robotics. However, these datasets contain complex and entangled factors of var…
Novel Class Discovery