SOTAVerified

Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 634 papers

TitleStatusHype
The Bayesian Approach to Continual Learning: An Overview—0
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning—0
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental LearningCode0
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental LearningCode1
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning—0
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing—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
1SEEDAverage Incremental Accuracy56.2—Unverified