SOTAVerified

Class Incremental Learning

Papers

Showing 626634 of 634 papers

TitleStatusHype
Class-Incremental Learning based on Label GenerationCode0
Class Impression for Data-free Incremental LearningCode0
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningCode0
PromptFusion: Decoupling Stability and Plasticity for Continual LearningCode0
An Efficient Memory Module for Graph Few-Shot Class-Incremental LearningCode0
Rebalancing Batch Normalization for Exemplar-based Class-Incremental LearningCode0
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual LearningCode0
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class BoundariesCode0
Continual Prune-and-Select: Class-incremental learning with specialized subnetworksCode0
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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