SOTAVerified

Class Incremental Learning

Papers

Showing 101110 of 634 papers

TitleStatusHype
Dark Experience for General Continual Learning: a Strong, Simple BaselineCode1
Data-Free Class-Incremental Hand Gesture RecognitionCode1
Class-Incremental Learning via Dual AugmentationCode1
Avalanche: an End-to-End Library for Continual LearningCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold NetworksCode1
Essentials for Class Incremental LearningCode1
DER: Dynamically Expandable Representation for Class Incremental LearningCode1
Class-Incremental Learning for Wireless Device Identification in IoTCode1
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality CalibrationCode1
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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