SOTAVerified

Class Incremental Learning

Papers

Showing 391400 of 634 papers

TitleStatusHype
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing0
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition0
Few-shot Class-incremental Learning for Cross-domain Disease Classification0
Few-Shot Class-Incremental Learning for Named Entity Recognition0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion0
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks0
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation0
Show:102550
← PrevPage 40 of 64Next →

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