SOTAVerified

Class Incremental Learning

Papers

Showing 5175 of 634 papers

TitleStatusHype
NTK-Guided Few-Shot Class Incremental LearningCode1
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental LearningCode1
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningCode1
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental LearningCode1
Federated Class-Incremental Learning with New-Class Augmented Self-DistillationCode1
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental LearningCode1
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental LearningCode1
Generative Multi-modal Models are Good Class Incremental LearnersCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time AdaptationCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Masked Autoencoders are Efficient Class Incremental LearnersCode1
Audio-Visual Class-Incremental LearningCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual LearningCode1
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt TuningCode1
Heterogeneous Forgetting Compensation for Class-Incremental LearningCode1
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Benchmark Results

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