SOTAVerified

Class Incremental Learning

Papers

Showing 191200 of 634 papers

TitleStatusHype
Few-Shot Class Incremental Learning via Robust Transformer ApproachCode0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning0
Continual Learning in the Presence of Repetition0
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer0
Few Shot Class Incremental Learning using Vision-Language models0
Hard ASH: Sparsity and the right optimizer make a continual learner0
Revisiting Neural Networks for Continual Learning: An Architectural PerspectiveCode1
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning0
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesCode0
Realistic Continual Learning Approach using Pre-trained Models0
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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