SOTAVerified

Class Incremental Learning

Papers

Showing 111120 of 634 papers

TitleStatusHype
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationCode1
LifeLonger: A Benchmark for Continual Disease ClassificationCode1
FOSTER: Feature Boosting and Compression for Class-Incremental LearningCode1
Class-Incremental Learning with Strong Pre-trained ModelsCode1
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationCode1
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksCode1
Constrained Few-shot Class-incremental LearningCode1
Energy-based Latent Aligner for Incremental LearningCode1
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental LearningCode1
Federated Class-Incremental LearningCode1
Show:102550
← PrevPage 12 of 64Next →

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