SOTAVerified

Class Incremental Learning

Papers

Showing 21–30 of 634 papers

TitleStatusHype
Noise-Tolerant Coreset-Based Class Incremental Continual Learning—0
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture—0
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning—0
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL—0
Adaptive Decision Boundary for Few-Shot Class-Incremental LearningCode1
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning—0
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning—0
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-TrainingCode1
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental LearningCode0
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18—Unverified
2SCR10-stage average accuracy65.98—Unverified
3iCaRL10-stage average accuracy63.24—Unverified
4LUCIR10-stage average accuracy56.53—Unverified
5ABD10-stage average accuracy54.44—Unverified
6EWC10-stage average accuracy50.53—Unverified
7EMR10-stage average accuracy48.66—Unverified
8A-GEM10-stage average accuracy45.76—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2PPCA-CLIPFinal Accuracy69.71—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2—Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6—Unverified