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Class Incremental Learning

Papers

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Showing 401–425 of 634 papers

TitleStatusHype
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks—0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization—0
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces—0
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation—0
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing—0
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning—0
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction—0
Class-Incremental Learning using Diffusion Model for Distillation and Replay—0
A Class-Incremental Learning Method Based on One Class Support Vector Machine—0
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts—0
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer—0
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers—0
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning—0
Class-incremental learning: survey and performance evaluation on image classification—0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
Class incremental learning for video action classification—0
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning—0
Class-Incremental Learning for Sound Event Localization and Detection—0
Generative Feature-driven Image Replay for Continual Learning—0
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning—0
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL—0
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning—0
Memory Efficient Class-Incremental Learning for Image Classification—0
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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