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Class Incremental Learning

Papers

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Showing 301–350 of 634 papers

TitleStatusHype
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information ExtractionCode0
Technical Report for the 5th CLVision Challenge at CVPR: Addressing the Class-Incremental with Repetition using Unlabeled Data -- 4th Place SolutionCode0
Towards Effective Authorship Attribution: Integrating Class-Incremental LearningCode0
Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational FootprintCode0
Triple Memory Networks: a Brain-Inspired Method for Continual LearningCode0
When Video Classification Meets Incremental Classes—0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection—0
Cross-Class Feature Augmentation for Class Incremental Learning—0
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation—0
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation—0
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion—0
FSCIL-SEI: Few-Shot Class-Incremental Learning Approach for Specific Emitter Identification—0
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning—0
Future-Proofing Class Incremental Learning—0
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning—0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning—0
General Incremental Learning with Domain-aware Categorical Representations—0
Generalizable Two-Branch Framework for Image Class-Incremental Learning—0
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning—0
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings—0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning—0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning—0
Continual learning with task specialist—0
Continual Learning with Optimal Transport based Mixture Model—0
Continual Learning with Fully Probabilistic Models—0
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge—0
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning—0
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning—0
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning—0
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning—0
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor—0
GRASP: A Rehearsal Policy for Efficient Online Continual Learning—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
Hard ASH: Sparsity and the right optimizer make a continual learner—0
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning—0
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring—0
Hebbian Continual Representation Learning—0
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning—0
Continual learning via probabilistic exchangeable sequence modelling—0
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation—0
Hyperparameters in Continual Learning: A Reality Check—0
Adversarial Incremental Learning—0
Continual Learning Using Pseudo-Replay via Latent Space Sampling—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Continual Learning in the Presence of Repetition—0
Two-level Graph Network for Few-Shot Class-Incremental Learning—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
Improving Feature Generalizability with Multitask Learning in 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