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Few-Shot Learning

623 papers

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Papers

AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation WACV 2026
Any Detector Can Detect Anything WACV 2026
Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting WACV 2026
Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026
DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs ACL 2026
Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases MIDL 2026
PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026
Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation MIDL 2026
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context AAAI 2025
Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation AAAI 2025
PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting AAAI 2025
Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations AAAI 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs AAAI 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion AAAI 2025
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025