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Class Incremental Learning

Papers

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Showing 301–350 of 634 papers

TitleStatusHype
Aggregated f-average Neural Network for Interpretable Ensembling—0
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental LearningCode0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
Continual Contrastive Spoken Language Understanding—0
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
Elephant Neural Networks: Born to Be a Continual Learner—0
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
PILOT: A Pre-Trained Model-Based Continual Learning ToolboxCode2
MultIOD: Rehearsal-free Multihead Incremental Object Detector—0
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis—0
GRASP: A Rehearsal Policy for Efficient Online Continual Learning—0
Dynamic Residual Classifier for Class Incremental LearningCode0
Masked Autoencoders are Efficient Class Incremental LearnersCode1
Category Adaptation Meets Projected Distillation in Generalized Continual Category DiscoveryCode0
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning—0
Audio-Visual Class-Incremental LearningCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual LearningCode1
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt TuningCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural NetworksCode0
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning—0
Heterogeneous Forgetting Compensation for Class-Incremental LearningCode1
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning—0
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental LearningCode0
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its VariantsCode1
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in RoboticsCode0
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge—0
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category DiscoveryCode1
Active Class Selection for Few-Shot Class-Incremental LearningCode0
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningCode1
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory—0
Class-Incremental Learning using Diffusion Model for Distillation and Replay—0
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer—0
Class-Incremental Learning based on Label GenerationCode0
Learnability and Algorithm for Continual LearningCode1
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning—0
Knowledge Transfer-Driven Few-Shot Class-Incremental LearningCode0
Multi-View Class Incremental Learning—0
Overcoming the Stability Gap in Continual Learning—0
Learning without Forgetting for Vision-Language ModelsCode1
Prediction Error-based Classification for Class-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