SOTAVerified

Class Incremental Learning

Papers

Showing 131140 of 634 papers

TitleStatusHype
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionCode1
Subspace Regularizers for Few-Shot Class Incremental LearningCode1
Federated Reconnaissance: Efficient, Distributed, Class-Incremental LearningCode1
Co-Transport for Class-Incremental LearningCode1
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental LearningCode1
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural NetworkCode1
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic SegmentationCode1
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental LearningCode1
Always Be Dreaming: A New Approach for Data-Free Class-Incremental LearningCode1
Class-Incremental Learning for Wireless Device Identification in IoTCode1
Show:102550
← PrevPage 14 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