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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

MOVE: Motion-Guided Few-Shot Video Object Segmentation ICCV 2025
When Pixel Difference Patterns Meet ViT: PiDiViT for Few-Shot Object Detection ICCV 2025
You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception ICCV 2025
Elemental Composite Prototypical Network: Few-Shot Object Detection on Outdoor 3D Point Cloud Scenes WACV 2025
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation ICCV 2025
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders WACV 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025
Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text WACV 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation AAAI 2025
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context AAAI 2025
A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting WACV 2025
LLMSR@XLLM25: Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation ACL 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection AAAI 2025
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation AAAI 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract) AAAI 2025
On Collaborating Small and Large Models For Few-shot Intent Detection EMNLP 2025
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs EMNLP 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025
Active Few-Shot Learning for Text Classification NAACL 2025
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages EMNLP 2025
In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025