SOTAVerified

Class Incremental Learning

Papers

Showing 251260 of 634 papers

TitleStatusHype
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting0
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning0
An Efficient Replay for Class-Incremental Learning with Pre-trained Models0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning0
A Bag of Tricks for Few-Shot Class-Incremental Learning0
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning0
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner0
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition0
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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