SOTAVerified

Class Incremental Learning

Papers

Showing 2130 of 634 papers

TitleStatusHype
Task-Agnostic Guided Feature Expansion for Class-Incremental LearningCode1
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity GroupingCode1
Navigating Semantic Drift in Task-Agnostic Class-Incremental LearningCode1
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual LearningCode1
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware ClassificationCode1
Revisiting Generative Replay for Class Incremental Object DetectionCode1
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality CalibrationCode1
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental LearningCode1
Continual Learning Using a Kernel-Based Method Over Foundation ModelsCode1
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based 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