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Class Incremental Learning

Papers

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Showing 51–100 of 634 papers

TitleStatusHype
NTK-Guided Few-Shot Class Incremental LearningCode1
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental LearningCode1
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningCode1
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental LearningCode1
Generative Multi-modal Models are Good Class Incremental LearnersCode1
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental LearningCode1
Federated Class-Incremental Learning with New-Class Augmented Self-DistillationCode1
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental LearningCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language ModelsCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time AdaptationCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Masked Autoencoders are Efficient Class Incremental LearnersCode1
Audio-Visual Class-Incremental LearningCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt TuningCode1
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual LearningCode1
Heterogeneous Forgetting Compensation for Class-Incremental LearningCode1
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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All datasetscifar100CIFAR-100 - 50 classes + 10 steps of 5 classesCIFAR-100 - 50 classes + 5 steps of 10 classesCifar100-B0(10 tasks)-no-exemplarsCifar100-B0(20 tasks)-no-exemplarsCIFAR100-B0(50 tasks)-no-exemplars

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