SOTAVerified

Class Incremental Learning

Papers

Showing 341350 of 634 papers

TitleStatusHype
Hyperbolic Dual Feature Augmentation for Open-Environment0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation0
Hyperparameters in Continual Learning: A Reality Check0
SRIL: Selective Regularization for Class-Incremental Learning0
Confidence Self-Calibration for Multi-Label Class-Incremental Learning0
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning0
Condensed Prototype Replay for Class Incremental Learning0
IL2M: Class Incremental Learning With Dual Memory0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning0
Improving Feature Generalizability with Multitask Learning in 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