SOTAVerified

Class Incremental Learning

Papers

Showing 431440 of 634 papers

TitleStatusHype
Helpful or Harmful: Inter-Task Association in Continual LearningCode0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains0
Continual Learning with Evolving Class Ontologies0
A Memory Transformer Network for Incremental Learning0
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER0
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting MitigationCode1
Multi-stream Fusion for Class Incremental Learning in Pill Image ClassificationCode0
Long-Tailed Class Incremental LearningCode1
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation0
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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