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Few-Shot Class-Incremental Learning

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TitleStatusHype
Pre-trained Vision and Language Transformers Are Few-Shot Incremental LearnersCode2
Adaptive Decision Boundary for Few-Shot Class-Incremental LearningCode1
Forward Compatible Few-Shot Class-Incremental LearningCode1
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental LearningCode1
Few-shot Class-incremental Learning for 3D Point Cloud ObjectsCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental LearningCode1
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat MinimaCode1
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Constrained Few-shot Class-incremental LearningCode1
Few-Shot Class-Incremental Learning by Sampling Multi-Phase TasksCode1
On the Soft-Subnetwork for Few-shot Class Incremental LearningCode1
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its VariantsCode1
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental LearningCode1
Multimodal Parameter-Efficient Few-Shot Class Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental LearningCode1
NTK-Guided Few-Shot Class Incremental LearningCode1
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental LearningCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
Rethinking Few-shot Class-incremental Learning: Learning from YourselfCode1
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental LearningCode1
Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual LearningCode1
Few-Shot Incremental Learning with Continually Evolved ClassifiersCode1
Subspace Regularizers for Few-Shot Class Incremental LearningCode1
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningCode1
Few-Shot Class-Incremental LearningCode1
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationCode1
Graph Few-shot Class-incremental LearningCode1
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental LearningCode1
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting MitigationCode1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersCode1
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality CalibrationCode1
Bias Mitigating Few-Shot Class-Incremental Learning—0
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning—0
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion—0
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning—0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning—0
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning—0
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning—0
A Survey on Few-Shot Class-Incremental Learning—0
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Few-shot Class-incremental Learning for Cross-domain Disease Classification—0
Aggregated f-average Neural Network for Interpretable Ensembling—0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data—0
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