SOTAVerified

Class Incremental Learning

Papers

Showing 541550 of 634 papers

TitleStatusHype
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify InferenceCode0
AdaCL:Adaptive Continual LearningCode0
Reinforced Continual Learning for GraphsCode0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental LearningCode0
Memory-Free Generative Replay For Class-Incremental LearningCode0
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware PromptingCode0
Helpful or Harmful: Inter-Task Association in Continual LearningCode0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
GOTHAM: Graph Class Incremental Learning Framework under Weak SupervisionCode0
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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