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Few-Shot Class-Incremental Learning

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TitleStatusHype
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained DatasetsCode0
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning—0
Few-Shot Class-Incremental Learning with Prior KnowledgeCode0
Bias Mitigating Few-Shot Class-Incremental Learning—0
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental LearningCode0
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models—0
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental LearningCode1
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language ModelsCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning—0
Evaluating Pretrained models for Deployable Lifelong Learning—0
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental LearningCode0
Aggregated f-average Neural Network for Interpretable Ensembling—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its VariantsCode1
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in RoboticsCode0
Active Class Selection for Few-Shot Class-Incremental LearningCode0
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental LearningCode1
Knowledge Transfer-Driven Few-Shot Class-Incremental LearningCode0
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionCode0
A Survey on Few-Shot Class-Incremental Learning—0
Few-shot Class-incremental Learning for Cross-domain Disease Classification—0
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning—0
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningCode1
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning—0
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Two-level Graph Network for Few-Shot Class-Incremental Learning—0
Multimodal Parameter-Efficient Few-Shot Class Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental LearningCode1
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental LearningCode1
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental LearningCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental TaskCode0
Prototypical quadruplet for few-shot class incremental learning—0
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting MitigationCode1
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning—0
On the Soft-Subnetwork for Few-shot Class Incremental LearningCode1
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCode1
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free ReplayCode0
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry—0
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning—0
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning—0
Few-shot Class-incremental Learning for 3D Point Cloud ObjectsCode1
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationCode1
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
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