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Few-Shot Class-Incremental Learning

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Showing 101–118 of 118 papers

TitleStatusHype
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning—0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—0
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning—0
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning—0
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning—0
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning—0
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning—0
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL—0
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning—0
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning—0
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning—0
Prototypical quadruplet for few-shot class incremental learning—0
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry—0
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning—0
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning—0
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning—0
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning—0
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