SOTAVerified

Class Incremental Learning

Papers

Showing 1–10 of 634 papers

TitleStatusHype
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental LearningCode4
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental LearningCode2
Class-Incremental Learning: A SurveyCode2
External Knowledge Injection for CLIP-Based Class-Incremental LearningCode2
Learning without ForgettingCode2
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language ModelsCode2
Class-incremental Learning for Time Series: Benchmark and EvaluationCode2
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter FusionCode2
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningCode2
PILOT: A Pre-Trained Model-Based Continual Learning ToolboxCode2
Show:102550
← PrevPage 1 of 64Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18—Unverified
2SCR10-stage average accuracy65.98—Unverified
3iCaRL10-stage average accuracy63.24—Unverified
4LUCIR10-stage average accuracy56.53—Unverified
5ABD10-stage average accuracy54.44—Unverified
6EWC10-stage average accuracy50.53—Unverified
7EMR10-stage average accuracy48.66—Unverified
8A-GEM10-stage average accuracy45.76—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6—Unverified