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Class Incremental Learning

Papers

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Showing 226–250 of 634 papers

TitleStatusHype
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning—0
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
Hyperparameters in Continual Learning: A Reality Check—0
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse ExpertsCode0
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers—0
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing—0
12 mJ per Class On-Device Online Few-Shot Class-Incremental LearningCode0
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning—0
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained DatasetsCode0
Probing Image Compression For Class-Incremental Learning—0
DiffClass: Diffusion-Based Class Incremental Learning—0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning—0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—0
Open-world Machine Learning: A Review and New Outlooks—0
Generalizable Two-Branch Framework for Image Class-Incremental Learning—0
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning—0
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection—0
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning—0
Hyperdimensional Representation Learning for Node Classification and Link Prediction—0
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps—0
Class-incremental Learning for Time Series: Benchmark and EvaluationCode2
Balancing the Causal Effects in Class-Incremental Learning—0
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning—0
Elastic Feature Consolidation for Cold Start Exemplar-Free 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