SOTAVerified

Class Incremental Learning

Papers

Showing 471480 of 634 papers

TitleStatusHype
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationCode1
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental LearningCode2
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning0
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework0
Few-Shot Class-Incremental Learning for Named Entity Recognition0
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor0
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning0
LifeLonger: A Benchmark for Continual Disease ClassificationCode1
FOSTER: Feature Boosting and Compression for Class-Incremental LearningCode1
General Incremental Learning with Domain-aware Categorical Representations0
Show:102550
← PrevPage 48 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