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Class Incremental Learning

Papers

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Showing 251–275 of 634 papers

TitleStatusHype
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting—0
Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning—0
Exemplar-condensed Federated Class-incremental Learning—0
GRASP: A Rehearsal Policy for Efficient Online Continual Learning—0
Future-Proofing Class Incremental Learning—0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning—0
Defying Imbalanced Forgetting in Class Incremental Learning—0
An Efficient Replay for Class-Incremental Learning with Pre-trained Models—0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning—0
A Bag of Tricks for Few-Shot Class-Incremental Learning—0
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings—0
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner—0
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations—0
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning—0
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning—0
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory—0
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning—0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling—0
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation—0
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection—0
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion—0
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning—0
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation—0
Cross-Class Feature Augmentation for Class Incremental Learning—0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—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