SOTAVerified

Class Incremental Learning

Papers

Showing 201210 of 634 papers

TitleStatusHype
Toward industrial use of continual learning : new metrics proposal for class incremental learning0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark0
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersCode1
Future-Proofing Class Incremental Learning0
Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersCode2
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning0
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformerCode1
Generative Multi-modal Models are Good Class-Incremental LearnersCode1
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental LearningCode1
Towards Non-Exemplar Semi-Supervised 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