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Class Incremental Learning

Papers

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Showing 426–450 of 634 papers

TitleStatusHype
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation—0
Class-Incremental Learning for Multi-Label Audio Classification—0
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation—0
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning—0
Class-Incremental Learning for Action Recognition in Videos—0
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning—0
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations—0
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning—0
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection—0
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation—0
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning—0
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference—0
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning—0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework—0
MultIOD: Rehearsal-free Multihead Incremental Object Detector—0
Unsupervised Class-Incremental Learning Through Confusion—0
vCLIMB: A Novel Video Class Incremental Learning Benchmark—0
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
Multi-View Class Incremental Learning—0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—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