SOTAVerified

Class Incremental Learning

Papers

Showing 581590 of 634 papers

TitleStatusHype
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
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models0
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning0
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning0
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse0
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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