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Class Incremental Learning

Papers

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Showing 451–500 of 634 papers

TitleStatusHype
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning—0
PyCIL: A Python Toolbox for 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
ScaIL: Classifier Weights Scaling for Class Incremental Learning—0
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data—0
Sculpting [CLS] Features for Pre-Trained Model-Based Class-Incremental Learning—0
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection—0
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning—0
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning—0
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning—0
Self-Paced Imbalance Rectification for Class Incremental Learning—0
Self-Supervised Class Incremental Learning—0
Self-Supervised Learning Aided Class-Incremental Lifelong Learning—0
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning—0
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning—0
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning—0
Similarity-based context aware continual learning for spiking neural networks—0
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning—0
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning—0
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning—0
Space-time Prompting for Video Class-incremental Learning—0
SRIL: Selective Regularization for Class-Incremental Learning—0
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning—0
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning—0
Striking a Balance Between Stability and Plasticity for Class-Incremental Learning—0
Susceptibility of Continual Learning Against Adversarial Attacks—0
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces—0
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts—0
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning—0
Taxonomic Class Incremental Learning—0
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning—0
Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection—0
The Bayesian Approach to Continual Learning: An Overview—0
The Championship-Winning Solution for the 5th CLVISION Challenge 2024—0
The impact of model size on catastrophic forgetting in Online Continual Learning—0
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning—0
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning—0
Topology-Preserving Class-Incremental Learning—0
Toward industrial use of continual learning : new metrics proposal for 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