SOTAVerified

Class Incremental Learning

Papers

Showing 5160 of 634 papers

TitleStatusHype
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental LearningCode1
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold NetworksCode1
Class-Incremental Learning via Dual AugmentationCode1
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionCode1
Brain-inspired replay for continual learning with artificial neural networksCode1
Class-Incremental Learning with Cross-Space Clustering and Controlled TransferCode1
Constrained Few-shot Class-incremental LearningCode1
Essentials for Class Incremental LearningCode1
AIR: Analytic Imbalance Rectifier for Continual LearningCode1
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationCode1
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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