SOTAVerified

Class Incremental Learning

Papers

Showing 461470 of 634 papers

TitleStatusHype
Noise-Tolerant Coreset-Based Class Incremental Continual Learning0
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning0
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning0
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning0
Hyperdimensional Representation Learning for Node Classification and Link Prediction0
Taxonomic Class Incremental Learning0
Balancing the Causal Effects in Class-Incremental Learning0
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning0
Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection0
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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