SOTAVerified

Class Incremental Learning

Papers

Showing 91100 of 634 papers

TitleStatusHype
Co-Transport for Class-Incremental LearningCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
FOSTER: Feature Boosting and Compression for Class-Incremental LearningCode1
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual LearningCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Data-Free Class-Incremental Hand Gesture RecognitionCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
Avalanche: an End-to-End Library for Continual 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