SOTAVerified

Class Incremental Learning

Papers

Showing 221230 of 634 papers

TitleStatusHype
Text-Enhanced Data-free Approach for Federated Class-Incremental LearningCode1
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning0
NTK-Guided Few-Shot Class Incremental LearningCode1
Confidence Self-Calibration for Multi-Label Class-Incremental Learning0
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningCode2
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning0
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
Hyperparameters in Continual Learning: A Reality Check0
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse ExpertsCode0
Show:102550
← PrevPage 23 of 64Next →

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