Few-Shot Learning

MPL: Match-guided Prototype Learning for Few-shot Action Recognition CVPR 2026 MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification CVPR 2026 Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment CVPR 2026 One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control CVPR 2026 Personalized Image Descriptions from Attention Sequences CVPR 2026 PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 PP-Brep: Few-Shot B-rep Classification with Hybrid Graph Representation CVPR 2026 Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs ACL 2026 Quantized Residuals to Continuous Prompts for Few-Shot Class Incremental Learning in Vision-Language Models CVPR 2026 RAID: Retrieval-Augmented Anomaly Detection CVPR 2026 Rethinking Glyph Spatial Information in Font Generation CVPR 2026 Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? CVPR 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation CVPR 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation CVPR 2026 Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning CVPR 2026 Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation CVPR 2026 Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type Classification SemEval 2026 SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation SemEval 2026 TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification CVPR 2026 Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation MIDL 2026 Training-Free Few-Shot Segmentation via Vision-Language Guided Prompting WACV 2026 Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation CVPR 2026 VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition CVPR 2026