SOTAVerified

Class Incremental Learning

Papers

Showing 76100 of 634 papers

TitleStatusHype
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionCode1
Always Be Dreaming: A New Approach for Data-Free Class-Incremental LearningCode1
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental LearningCode1
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsCode1
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningCode1
Avalanche: an End-to-End Library for Continual LearningCode1
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental LearningCode1
A Multi-Head Model for Continual Learning via Out-of-Distribution ReplayCode1
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningCode1
Adaptive Decision Boundary for Few-Shot Class-Incremental LearningCode1
Federated Reconnaissance: Efficient, Distributed, Class-Incremental LearningCode1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersCode1
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental LearningCode1
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary LearningCode1
Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCode1
Class-Incremental Learning for Wireless Device Identification in IoTCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesCode1
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old LabelsCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
Class-Incremental Exemplar Compression for Class-Incremental LearningCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual LearningCode1
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18Unverified
2SCR10-stage average accuracy65.98Unverified
3iCaRL10-stage average accuracy63.24Unverified
4LUCIR10-stage average accuracy56.53Unverified
5ABD10-stage average accuracy54.44Unverified
6EWC10-stage average accuracy50.53Unverified
7EMR10-stage average accuracy48.66Unverified
8A-GEM10-stage average accuracy45.76Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6Unverified