SOTAVerified

Class Incremental Learning

Papers

Showing 6170 of 634 papers

TitleStatusHype
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning0
Navigating Semantic Drift in Task-Agnostic Class-Incremental LearningCode1
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion0
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental SegmentationCode0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning0
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting0
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning0
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning0
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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