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Class Incremental Learning

Papers

Showing 361370 of 634 papers

TitleStatusHype
Effective Decision Boundary Learning for Class Incremental Learning0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning0
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation0
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis0
Elephant Neural Networks: Born to Be a Continual Learner0
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning0
Endpoints Weight Fusion for Class Incremental Semantic Segmentation0
Energy Aligning for Biased Models0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models0
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for 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