SOTAVerified

Class Incremental Learning

Papers

Showing 181190 of 634 papers

TitleStatusHype
Few-shot Tuning of Foundation Models for Class-incremental LearningCode0
On Sequential Loss Approximation for Continual LearningCode0
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning PerspectiveCode0
Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental LearningCode1
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory0
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental LearningCode0
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning0
Dynamic Feature Learning and Matching for Class-Incremental Learning0
Feature Expansion and enhanced Compression for Class Incremental LearningCode0
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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