SOTAVerified

Class Incremental Learning

Papers

Showing 371380 of 634 papers

TitleStatusHype
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks0
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse0
Enhancing Visual Continual Learning with Language-Guided Supervision0
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation0
Evaluating Pretrained models for Deployable Lifelong Learning0
Evidential Deep Learning for Class-Incremental Semantic Segmentation0
Evolving Dictionary Representation for Few-shot Class-incremental Learning0
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting0
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning0
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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