SOTAVerified

Class Incremental Learning

Papers

Showing 411420 of 634 papers

TitleStatusHype
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning0
Memory Efficient Class-Incremental Learning for Image Classification0
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning0
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation0
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning0
MultIOD: Rehearsal-free Multihead Incremental Object Detector0
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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