SOTAVerified

Class Incremental Learning

Papers

Showing 611620 of 634 papers

TitleStatusHype
Lifelong Machine Learning with Deep Streaming Linear Discriminant AnalysisCode0
Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesCode1
Incremental Concept Learning via Online Generative Memory Recall0
Learning a Unified Classifier Incrementally via RebalancingCode0
Large Scale Incremental LearningCode0
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning0
Three scenarios for continual learningCode2
Overcoming Catastrophic Forgetting with Unlabeled Data in the WildCode0
Gradient based sample selection for online continual learningCode0
Class-incremental Learning via Deep Model ConsolidationCode0
Show:102550
← PrevPage 62 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