SOTAVerified

Class Incremental Learning

Papers

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Showing 401–450 of 634 papers

TitleStatusHype
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference—0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
MultIOD: Rehearsal-free Multihead Incremental Object Detector—0
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
Multi-View Class Incremental Learning—0
Neural Architecture Search for Class-incremental Learning—0
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps—0
Noise-Tolerant Coreset-Based Class Incremental Continual Learning—0
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features—0
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning—0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning—0
On the Stability-Plasticity Dilemma of Class-Incremental Learning—0
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning—0
Open-world Machine Learning: A Review and New Outlooks—0
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator—0
Overcoming the Stability Gap in Continual Learning—0
PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning—0
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning—0
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning—0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation—0
Plastic Learning with Deep Fourier Features—0
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning—0
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark—0
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection—0
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning—0
Probing Image Compression For Class-Incremental Learning—0
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning—0
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection—0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning—0
Prototypical quadruplet for few-shot class incremental learning—0
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing—0
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning—0
Realistic Continual Learning Approach using Pre-trained Models—0
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning—0
Rebalancing Multi-Label Class-Incremental Learning—0
Recent Advances of Foundation Language Models-based Continual Learning: A Survey—0
Recommendation of data-free class-incremental learning algorithms by simulating future data—0
Federated Class-Incremental Learning with Hierarchical Generative Prototypes—0
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation—0
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning—0
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry—0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception—0
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis—0
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18—Unverified
2SCR10-stage average accuracy65.98—Unverified
3iCaRL10-stage average accuracy63.24—Unverified
4LUCIR10-stage average accuracy56.53—Unverified
5ABD10-stage average accuracy54.44—Unverified
6EWC10-stage average accuracy50.53—Unverified
7EMR10-stage average accuracy48.66—Unverified
8A-GEM10-stage average accuracy45.76—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6—Unverified