SOTAVerified

Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 634 papers

TitleStatusHype
Federated Class-Incremental Learning with Hierarchical Generative Prototypes—0
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation—0
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion—0
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning—0
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos—0
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning—0
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting—0
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring—0
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks—0
A Memory Transformer Network for Incremental Learning—0
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry—0
Revisiting Catastrophic Forgetting in Class Incremental Learning—0
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV—0
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning—0
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning—0
Towards interpretable-by-design deep learning algorithms—0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception—0
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning—0
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond—0
Aggregated f-average Neural Network for Interpretable Ensembling—0
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis—0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning—0
ScaIL: Classifier Weights Scaling for Class Incremental Learning—0
When Video Classification Meets Incremental Classes—0
Show:102550
← PrevPage 22 of 26Next →
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