SOTAVerified

Class Incremental Learning

Papers

Showing 1120 of 634 papers

TitleStatusHype
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation0
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting0
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation0
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection0
PrePrompt: Predictive prompting for class incremental learningCode1
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer0
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning0
Autoencoder-Based Hybrid Replay for Class-Incremental Learning0
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse0
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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