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Class Incremental Learning

Papers

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Showing 601–634 of 634 papers

TitleStatusHype
Exemplar-Free Class Incremental Learning via Incremental Representation—0
Diffusion Meets Few-shot Class Incremental Learning—0
DiffClass: Diffusion-Based Class Incremental Learning—0
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning—0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks—0
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning—0
Diagnosing Batch Normalization in Class Incremental Learning—0
Fair Class-Incremental Learning using Sample Weighting—0
Detecting Unknown DGAs without Context Information—0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning—0
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning—0
Detachedly Learn a Classifier for Class-Incremental Learning—0
Dense Network Expansion for Class Incremental Learning—0
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting—0
Federated Class-Incremental Learning with Prompting—0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning—0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning—0
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond—0
Defying Imbalanced Forgetting in Class Incremental Learning—0
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer—0
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer—0
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner—0
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing—0
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning—0
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection—0
Few-shot Class-incremental Learning for Cross-domain Disease Classification—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Cross-Class Feature Augmentation for Class Incremental Learning—0
Few Shot Class Incremental Learning using Vision-Language models—0
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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