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Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 634 papers

TitleStatusHype
Evaluating Pretrained models for Deployable Lifelong Learning—0
Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
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
Exemplar-Free Class Incremental Learning via Incremental Representation—0
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning—0
Fair Class-Incremental Learning using Sample Weighting—0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning—0
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting—0
Federated Class-Incremental Learning with Prompting—0
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond—0
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer—0
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer—0
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing—0
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Few-shot Class-incremental Learning for Cross-domain Disease Classification—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks—0
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation—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