SOTAVerified

Class Incremental Learning

Papers

Showing 261270 of 634 papers

TitleStatusHype
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearning0
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningCode1
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental LearningCode1
Generative Multi-modal Models are Good Class Incremental LearnersCode1
Class Incremental Learning with Multi-Teacher DistillationCode0
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental LearningCode0
Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning0
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning0
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental LearningCode1
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free 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