SOTAVerified

Class Incremental Learning

Papers

Showing 371380 of 634 papers

TitleStatusHype
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Cross-Class Feature Augmentation for Class Incremental Learning0
On the Stability-Plasticity Dilemma of Class-Incremental Learning0
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningCode1
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning0
Towards Open Temporal Graph Neural NetworksCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Two-level Graph Network for Few-Shot Class-Incremental Learning0
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
AdaCL:Adaptive Continual LearningCode0
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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