SOTAVerified

Class Incremental Learning

Papers

Showing 451460 of 634 papers

TitleStatusHype
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning0
Breaking Fine-Grained Classification Barriers with Cost-Free Data in Few-Shot Class-Incremental Learning0
Neural Architecture Search for Class-incremental Learning0
Brain-inspired feature exaggeration in generative replay for continual learning0
Brain-inspired continual pre-trained learner via silent synaptic consolidation0
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning0
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps0
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning0
ACIL: Active Class Incremental Learning for Image Classification0
Bias Mitigating Few-Shot 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