SOTAVerified

Class Incremental Learning

Papers

Showing 431440 of 634 papers

TitleStatusHype
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning0
Open-world Machine Learning: A Review and New Outlooks0
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator0
Overcoming the Stability Gap in Continual Learning0
PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning0
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning0
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation0
Plastic Learning with Deep Fourier Features0
PlaStIL: Plastic and Stable Memory-Free 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