SOTAVerified

Class Incremental Learning

Papers

Showing 151160 of 634 papers

TitleStatusHype
On Tiny Episodic Memories in Continual LearningCode1
Generative Multi-modal Models are Good Class Incremental LearnersCode1
Graph Few-shot Class-incremental LearningCode1
Continual Learning Based on OOD Detection and Task MaskingCode1
Always Be Dreaming: A New Approach for Data-Free Class-Incremental LearningCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Insights from the Future for Continual LearningCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Learning to Prompt for Continual LearningCode1
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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