SOTAVerified

Class Incremental Learning

Papers

Showing 301310 of 634 papers

TitleStatusHype
Continual Learning with Optimal Transport based Mixture Model0
Continual Learning with Fully Probabilistic Models0
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning0
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor0
Breaking Fine-Grained Classification Barriers with Cost-Free Data in Few-Shot Class-Incremental Learning0
A Class-Incremental Learning Method Based on One Class Support Vector Machine0
Continual learning via probabilistic exchangeable sequence modelling0
Continual Learning Using Pseudo-Replay via Latent Space Sampling0
Continual Learning in the Presence of Repetition0
A Memory Transformer Network for 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