SOTAVerified

Class Incremental Learning

Papers

Showing 8190 of 634 papers

TitleStatusHype
Learning without Forgetting for Vision-Language ModelsCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Towards Open Temporal Graph Neural NetworksCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual LearningCode1
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedCode1
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsCode1
Multimodal Parameter-Efficient Few-Shot 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