SOTAVerified

Class Incremental Learning

Papers

Showing 271280 of 634 papers

TitleStatusHype
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free AdaptorCode0
Brain-inspired continual pre-trained learner via silent synaptic consolidation0
Fair Class-Incremental Learning using Sample Weighting0
Continual learning with task specialist0
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data0
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning0
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning0
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation0
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion0
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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