SOTAVerified

Class Incremental Learning

Papers

Showing 251260 of 634 papers

TitleStatusHype
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental LearningCode0
Adaptive Adapter Routing for Long-Tailed Class-Incremental LearningCode0
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class ClassifiersCode0
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free AdaptorCode0
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental LearningCode0
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental LearningCode0
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse ExpertsCode0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
Few-shot Tuning of Foundation Models 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