SOTAVerified

Class Incremental Learning

Papers

Showing 111120 of 634 papers

TitleStatusHype
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial AttacksCode1
Federated Class-Incremental LearningCode1
Class-Incremental Learning with Cross-Space Clustering and Controlled TransferCode1
Class-Incremental Learning with Generative ClassifiersCode1
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Class-Incremental Learning via Dual AugmentationCode1
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual LearningCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
Continual Learning Using a Kernel-Based Method Over Foundation ModelsCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
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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