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Class Incremental Learning

Papers

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Showing 426–450 of 634 papers

TitleStatusHype
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning—0
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks—0
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning—0
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning—0
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental LearningCode0
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
Active Class Selection for Few-Shot Class-Incremental LearningCode0
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
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
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual LearningCode0
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning—0
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information ExtractionCode0
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning—0
Condensed Prototype Replay for Class Incremental Learning—0
Dealing with Cross-Task Class Discrimination in Online Continual LearningCode0
SRIL: Selective Regularization for Class-Incremental Learning—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