SOTAVerified

Class Incremental Learning

Papers

Showing 301310 of 634 papers

TitleStatusHype
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse0
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach0
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning0
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks0
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models0
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models0
Active Class Incremental Learning for Imbalanced Datasets0
Energy Aligning for Biased Models0
Endpoints Weight Fusion for Class Incremental Semantic Segmentation0
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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