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Class Incremental Learning

Papers

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Showing 51–75 of 634 papers

TitleStatusHype
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning—0
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks—0
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental LearningCode1
Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection—0
FSCIL-SEI: Few-Shot Class-Incremental Learning Approach for Specific Emitter Identification—0
Task-Agnostic Guided Feature Expansion for Class-Incremental LearningCode1
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning—0
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity GroupingCode1
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning—0
Sculpting [CLS] Features for Pre-Trained Model-Based Class-Incremental Learning—0
ConSense: Continually Sensing Human Activity with WiFi via Growing and PickingCode0
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning—0
Navigating Semantic Drift in Task-Agnostic Class-Incremental LearningCode1
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental SegmentationCode0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning—0
On the Discrimination and Consistency for Exemplar-Free 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
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning—0
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning—0
PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning—0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental LearningCode0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—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