SOTAVerified

Class Incremental Learning

Papers

Showing 461470 of 634 papers

TitleStatusHype
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class BoundariesCode0
Class Impression for Data-free Incremental LearningCode0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning0
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning0
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective0
Queried Unlabeled Data Improves and Robustifies Class-Incremental LearningCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Few-shot Class-incremental Learning for 3D Point Cloud ObjectsCode1
Detecting Unknown DGAs without Context Information0
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection0
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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