SOTAVerified

Class Incremental Learning

Papers

Showing 131140 of 634 papers

TitleStatusHype
Avalanche: an End-to-End Library for Continual LearningCode1
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionCode1
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental LearningCode1
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental LearningCode1
Essentials for Class Incremental LearningCode1
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningCode1
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental LearningCode1
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental LearningCode1
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
FOSTER: Feature Boosting and Compression for Class-Incremental LearningCode1
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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