SOTAVerified

Class Incremental Learning

Papers

Showing 381390 of 634 papers

TitleStatusHype
Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning0
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning0
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning0
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning0
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning0
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection0
Susceptibility of Continual Learning Against Adversarial Attacks0
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning0
Closed-form merging of parameter-efficient modules for Federated Continual Learning0
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER0
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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