SOTAVerified

Class Incremental Learning

Papers

Showing 281290 of 634 papers

TitleStatusHype
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning0
Enhancing Robustness in Incremental Learning with Adversarial TrainingCode0
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing0
MIND: Multi-Task Incremental Network DistillationCode0
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning0
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningCode0
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input RecognitionCode0
Evaluating Pretrained models for Deployable Lifelong Learning0
Density Distribution-based Learning Framework for Addressing Online Continual Learning ChallengesCode0
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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