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Class Incremental Learning

Papers

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Showing 176–200 of 634 papers

TitleStatusHype
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models—0
Active Class Incremental Learning for Imbalanced Datasets—0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse—0
A Survey on Few-Shot Class-Incremental Learning—0
Adversarial Incremental Learning—0
Energy Aligning for Biased Models—0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models—0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization—0
Class-Incremental Learning using Diffusion Model for Distillation and Replay—0
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers—0
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers—0
Class-incremental learning: survey and performance evaluation on image classification—0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation—0
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning—0
Enhancing Visual Continual Learning with Language-Guided Supervision—0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
SS-IL: Separated Softmax for Incremental Learning—0
Class incremental learning for video action classification—0
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning—0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
Class-Incremental Learning for Sound Event Localization and Detection—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
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks—0
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks—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