Image de couverture de livre

Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jia, Penghao, Huang, Zhiyong, Hou, Mingyang, Yu, Zhi, Miao, Shuai, Wang, Jiahong, Yan, Yan
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
par: Zhang, Yumin, et autres
Publié: (2024)

Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
par: Tang, Song, et autres
Publié: (2024)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
par: Tang, Song, et autres
Publié: (2024)

Tied Prototype Model for Few-Shot Medical Image Segmentation
par: Kim, Hyeongji, et autres
Publié: (2025)

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
par: Fan, Chao, et autres
Publié: (2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
par: Yan, Zhonghao, et autres
Publié: (2025)

Adaptive Distribution-aware Quantization for Mixed-Precision Neural Networks
par: Jia, Shaohang, et autres
Publié: (2025)

Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
par: Jiang, Jianchao, et autres
Publié: (2025)

AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
par: Gao, Ziyuan
Publié: (2025)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
par: Park, Suho, et autres
Publié: (2025)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
par: Cong, Runmin, et autres
Publié: (2024)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
par: Yang, Jie, et autres
Publié: (2026)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
par: Liu, Hongli, et autres
Publié: (2026)

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
par: Sai, Chinthakuntla Meghan, et autres
Publié: (2026)

Few-Shot Medical Image Segmentation with Large Kernel Attention
par: Wu, Xiaoxiao, et autres
Publié: (2024)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
par: Wu, Xiaoxiao, et autres
Publié: (2024)

Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
par: Song, Feifan, et autres
Publié: (2026)

Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation
par: Chen, Yingyu, et autres
Publié: (2024)

LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
par: Zhang, Shengdong, et autres
Publié: (2025)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
par: Thrainer, Christina, et autres
Publié: (2025)

Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition
par: Jia, Junhao, et autres
Publié: (2025)

Prototype-Driven Adaptation for Few-Shot Object Detection
par: Huang, Yushen, et autres
Publié: (2025)

IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
par: Liao, Wenwen, et autres
Publié: (2026)

Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
par: Manna, Siladittya, et autres
Publié: (2024)

Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
par: Shen, Xing, et autres
Publié: (2025)

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
par: Li, Meihua, et autres
Publié: (2026)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially
par: Yang, Jingyun, et autres
Publié: (2025)

Contrastive Graph Modeling for Cross-Domain Few-Shot Medical Image Segmentation
par: Bo, Yuntian, et autres
Publié: (2025)

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection
par: M., Hari Prasanth S., et autres
Publié: (2026)

Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
par: Zou, Tianyu, et autres
Publié: (2025)

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
par: Chen, Zhi, et autres
Publié: (2025)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
par: Wang, Wanqi, et autres
Publié: (2026)

Multi-Text Guided Few-Shot Semantic Segmentation
par: Jiao, Qiang, et autres
Publié: (2025)

Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
par: Zu, Haiyue, et autres
Publié: (2025)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
par: Tong, Jintao, et autres
Publié: (2025)

Beyond Normal References: Discriminative Few-Shot Anomaly Detection
par: Wang, Huan, et autres
Publié: (2026)

FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
par: Li, Zhuohao, et autres
Publié: (2025)

Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures
par: Guo, Yulun
Publié: (2026)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
par: Jiang, Yuxin, et autres
Publié: (2025)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
par: Wang, Jing, et autres
Publié: (2023)