:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Bowen, Gao, Qiaohui, Wan, Shaowen, Sun, Shanhui, Liu, Wei, Li, Xiang, Liu, Tianming, Zhao, Lin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2603.05873
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
di: Zhao, Lin, et al.
Pubblicazione: (2024)

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
di: Yan, Zhiling, et al.
Pubblicazione: (2025)

MemoryMamba: Memory-Augmented State Space Model for Defect Recognition
di: Wang, Qianning, et al.
Pubblicazione: (2024)

Similarity Memory Prior is All You Need for Medical Image Segmentation
di: Tang, Hao, et al.
Pubblicazione: (2025)

IMA-MoE: An Interpretable Modality-Aware Mixture-of-Experts Framework for Characterizing the Neurobiological Signatures of Binge Eating Disorder
di: Zhao, Lin, et al.
Pubblicazione: (2026)

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
di: Pan, Shaoyan, et al.
Pubblicazione: (2024)

Conditional Evidence Reconstruction and Decomposition for Interpretable Multimodal Diagnosis
di: Wan, Shaowen, et al.
Pubblicazione: (2026)

OSGNet @ Ego4D Episodic Memory Challenge 2025
di: Feng, Yisen, et al.
Pubblicazione: (2025)

MPA: Multimodal Prototype Augmentation for Few-Shot Learning
di: Wu, Liwen, et al.
Pubblicazione: (2026)

Self-Supervised Alignment Learning for Medical Image Segmentation
di: Li, Haofeng, et al.
Pubblicazione: (2024)

Unified Medical Image Segmentation with State Space Modeling Snake
di: Zhang, Ruicheng, et al.
Pubblicazione: (2025)

Diffusion-based Data Augmentation for Nuclei Image Segmentation
di: Yu, Xinyi, et al.
Pubblicazione: (2023)

OSGNet with MLLM Reranking @ Ego4D Episodic Memory Challenge 2026
di: Feng, Yisen, et al.
Pubblicazione: (2026)

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
di: Zhang, Xiaoran, et al.
Pubblicazione: (2025)

SAMAug: Point Prompt Augmentation for Segment Anything Model
di: Dai, Haixing, et al.
Pubblicazione: (2023)

BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentation
di: Gao, Shujian, et al.
Pubblicazione: (2025)

Associative Memories in the Feature Space
di: Salvatori, Tommaso, et al.
Pubblicazione: (2024)

Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks
di: Yan, Ruiyu, et al.
Pubblicazione: (2026)

Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models
di: Gong, Haifan, et al.
Pubblicazione: (2024)

MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
di: Tang, Fenghe, et al.
Pubblicazione: (2024)

Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
di: Zhu, Yun, et al.
Pubblicazione: (2025)

Blackbox Adaptation for Medical Image Segmentation
di: Paranjape, Jay N., et al.
Pubblicazione: (2024)

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model
di: Gong, Haifan, et al.
Pubblicazione: (2024)

MFmamba: A Multi-function Network for Panchromatic Image Resolution Restoration Based on State-Space Model
di: Jiang, Qian, et al.
Pubblicazione: (2025)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
di: Demir, Basar, et al.
Pubblicazione: (2025)

Diffusion Model in Latent Space for Medical Image Segmentation Task
di: Ngoc, Huynh Trinh, et al.
Pubblicazione: (2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation
di: Wu, Rong, et al.
Pubblicazione: (2025)

TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation
di: Jiao, Yaxuan, et al.
Pubblicazione: (2025)

VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory
di: Yu, Yifei, et al.
Pubblicazione: (2025)

A World Model of Radiologist Reading for Medical Image Representation Learning
di: Li, Yiwei, et al.
Pubblicazione: (2026)

A Text-Image Fusion Method with Data Augmentation Capabilities for Referring Medical Image Segmentation
di: Chai, Shurong, et al.
Pubblicazione: (2025)

Multimodal Information Interaction for Medical Image Segmentation
di: Fan, Xinxin, et al.
Pubblicazione: (2024)

One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks
di: Chen, Yaxiong, et al.
Pubblicazione: (2025)

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
di: Dong, Haoyu, et al.
Pubblicazione: (2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
di: Yan, Zhiling, et al.
Pubblicazione: (2024)

Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
di: Huang, Yuqing, et al.
Pubblicazione: (2026)

SpectralMamba-UNet: Frequency-Disentangled State Space Modeling for Texture-Structure Consistent Medical Image Segmentation
di: Zhang, Fuhao, et al.
Pubblicazione: (2026)

You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging
di: Xu, Wentian, et al.
Pubblicazione: (2025)

Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation
di: Hu, Shishuai, et al.
Pubblicazione: (2024)

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation
di: Miao, Junwen, et al.
Pubblicazione: (2025)