SOTAVerified

Class Incremental Learning

Papers

Showing 91100 of 634 papers

TitleStatusHype
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning0
Breaking Fine-Grained Classification Barriers with Cost-Free Data in Few-Shot Class-Incremental Learning0
Exemplar-condensed Federated Class-incremental Learning0
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental LearningCode1
Video Domain Incremental Learning for Human Action Recognition in Home Environments0
Continual Learning Using a Kernel-Based Method Over Foundation ModelsCode1
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning0
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning0
On Distilling the Displacement Knowledge 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