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Class Incremental Learning

Papers

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Showing 401–450 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-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning—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-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning—0
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection—0
Susceptibility of Continual Learning Against Adversarial Attacks—0
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer—0
Class Incremental Online Streaming Learning—0
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning—0
Class Incremental Learning with Pre-trained Vision-Language Models—0
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning—0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization—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
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces—0
Class-Incremental Learning using Diffusion Model for Distillation and Replay—0
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers—0
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning—0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning—0
Class incremental learning for video action classification—0
Class-Incremental Learning for Sound Event Localization and Detection—0
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts—0
Class-Incremental Learning for Multi-Label Audio Classification—0
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation—0
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference—0
Class-Incremental Learning for Action Recognition in Videos—0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations—0
MultIOD: Rehearsal-free Multihead Incremental Object Detector—0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation—0
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning—0
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
Multi-View Class Incremental Learning—0
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning—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