SOTAVerified

Class Incremental Learning

Papers

Showing 76100 of 634 papers

TitleStatusHype
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its VariantsCode1
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category DiscoveryCode1
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningCode1
Learnability and Algorithm for Continual LearningCode1
Prediction Error-based Classification for Class-Incremental LearningCode1
Learning without Forgetting for Vision-Language ModelsCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningCode1
Towards Open Temporal Graph Neural NetworksCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual LearningCode1
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedCode1
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsCode1
Multimodal Parameter-Efficient Few-Shot Class Incremental LearningCode1
Knowledge Restore and Transfer for Multi-label Class-Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental LearningCode1
No One Left Behind: Real-World Federated Class-Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental LearningCode1
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental LearningCode1
Online Hyperparameter Optimization for Class-Incremental LearningCode1
NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual LearningCode1
Data-Free Class-Incremental Hand Gesture RecognitionCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Resolving Task Confusion in Dynamic Expansion Architectures for 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