SOTAVerified

Class Incremental Learning

Papers

Showing 181190 of 634 papers

TitleStatusHype
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning0
Effective Decision Boundary Learning for Class Incremental Learning0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization0
Class-Incremental Learning using Diffusion Model for Distillation and Replay0
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers0
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers0
Class-incremental learning: survey and performance evaluation on image classification0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning0
Embedding Space Allocation with Angle-Norm Joint Classifiers 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