SOTAVerified

Class Incremental Learning

Papers

Showing 281290 of 634 papers

TitleStatusHype
Generalizable Two-Branch Framework for Image Class-Incremental Learning0
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation0
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning0
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting0
General Incremental Learning with Domain-aware Categorical Representations0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning0
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning0
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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