SOTAVerified

Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 576–600 of 634 papers

TitleStatusHype
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation—0
Adversarial Incremental Learning—0
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis—0
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory—0
Elephant Neural Networks: Born to Be a Continual Learner—0
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning—0
Endpoints Weight Fusion for Class Incremental Semantic Segmentation—0
Energy Aligning for Biased Models—0
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning—0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models—0
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning—0
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks—0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning—0
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach—0
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse—0
Enhancing Visual Continual Learning with Language-Guided Supervision—0
DILF-EN framework for Class-Incremental Learning—0
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation—0
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
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning—0
Show:102550
← PrevPage 24 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