few-shot learning

Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation WACV 2026 PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026 Personality Editing for Language Models through Adjusting Self-Referential Queries EACL 2026 PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ACL 2026 Pointing at Parts: Training-Free Few-Shot Grounding in Multimodal LLMs CVPR 2026 PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026 RAID: Retrieval-Augmented Anomaly Detection CVPR 2026 Reading Your Actions: Learning Generalizable Action Representations via Pre-training AEMG CVPR 2026 Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion AAAI 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 RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA AAAI 2026 RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models AAAI 2026 R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization WACV 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data CVPR 2026 SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition EACL 2026 SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation CVPR 2026 SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving CVPR 2026 Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation CVPR 2026 Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection WACV 2026 Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation CVPR 2026 Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract) AAAI 2026 Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models AAAI 2026