SOTAVerified

Class Incremental Learning

Papers

Showing 381390 of 634 papers

TitleStatusHype
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning0
Dense Network Expansion for Class Incremental Learning0
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual LearningCode1
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning0
ICICLE: Interpretable Class Incremental Continual LearningCode0
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedCode1
PromptFusion: Decoupling Stability and Plasticity for Continual LearningCode0
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsCode1
Multimodal Parameter-Efficient Few-Shot Class Incremental LearningCode1
Knowledge Restore and Transfer for Multi-label Class-Incremental LearningCode1
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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