SOTAVerified

Class Incremental Learning

Papers

Showing 611620 of 634 papers

TitleStatusHype
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning0
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning0
Detachedly Learn a Classifier for Class-Incremental Learning0
Dense Network Expansion for Class Incremental Learning0
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting0
Federated Class-Incremental Learning with Prompting0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning0
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond0
Defying Imbalanced Forgetting in Class Incremental Learning0
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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