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Class Incremental Learning

Papers

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Showing 601–634 of 634 papers

TitleStatusHype
Continual Class Incremental Learning for CT Thoracic Segmentation—0
Memory Efficient Class-Incremental Learning for Image Classification—0
Topology-Preserving Class-Incremental Learning—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
SpaceNet: Make Free Space For Continual LearningCode0
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
Self-Supervised Learning Aided Class-Incremental Lifelong Learning—0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning—0
SS-IL: Separated Softmax for Incremental Learning—0
Triple Memory Networks: a Brain-Inspired Method for Continual LearningCode0
Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesCode0
Adversarial Incremental Learning—0
ScaIL: Classifier Weights Scaling for Class Incremental Learning—0
Online Continual Learning with Maximal Interfered RetrievalCode0
IL2M: Class Incremental Learning With Dual Memory—0
Neural Architecture Search for Class-incremental Learning—0
Lifelong Machine Learning with Deep Streaming Linear Discriminant AnalysisCode0
Incremental Concept Learning via Online Generative Memory Recall—0
Learning a Unified Classifier Incrementally via RebalancingCode0
Large Scale Incremental LearningCode0
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning—0
Overcoming Catastrophic Forgetting with Unlabeled Data in the WildCode0
Gradient based sample selection for online continual learningCode0
Class-incremental Learning via Deep Model ConsolidationCode0
Efficient Lifelong Learning with A-GEMCode0
Extending Pretrained Segmentation Networks with Additional Anatomical StructuresCode0
Continuous Learning in Single-Incremental-Task Scenarios—0
SupportNet: solving catastrophic forgetting in class incremental learning with support dataCode0
A Class-Incremental Learning Method Based on One Class Support Vector Machine—0
Continual Learning with Deep Generative ReplayCode0
A Strategy for an Uncompromising Incremental LearnerCode0
Incremental One-Class Models for Data Classification—0
A Novel Progressive Multi-label Classifier for Classincremental Data—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