SOTAVerified

Class Incremental Learning

Papers

Showing 581590 of 634 papers

TitleStatusHype
RODEO: Replay for Online Object DetectionCode1
Brain-inspired replay for continual learning with artificial neural networksCode1
Continual Class Incremental Learning for CT Thoracic Segmentation0
Memory Efficient Class-Incremental Learning for Image Classification0
Topology-Preserving Class-Incremental Learning0
GDumb: A Simple Approach that Questions Our Progress in Continual LearningCode1
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning0
SpaceNet: Make Free Space For Continual LearningCode0
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning0
Insights from the Future for Continual LearningCode1
Show:102550
← PrevPage 59 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