SOTAVerified

Class Incremental Learning

Papers

Showing 311320 of 634 papers

TitleStatusHype
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion0
FSCIL-SEI: Few-Shot Class-Incremental Learning Approach for Specific Emitter Identification0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning0
Future-Proofing Class Incremental Learning0
Continual learning via probabilistic exchangeable sequence modelling0
Continual Learning Using Pseudo-Replay via Latent Space Sampling0
General Incremental Learning with Domain-aware Categorical Representations0
Generalizable Two-Branch Framework for Image Class-Incremental Learning0
Two-level Graph Network for Few-Shot Class-Incremental Learning0
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings0
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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