Imagen de Portada

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yao, Yihong, Li, Chunlei, Gang, Canxuan, Hu, Wenzhi, Zhang, Zeyu, Zhang, Hao, Li, Xiaoyan
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation
por: Gang, Canxuan
Publicado: (2025)

MediAug: Exploring Visual Augmentation in Medical Imaging
por: Qi, Xuyin, et al.
Publicado: (2025)

3D Medical Imaging Segmentation on Non-Contrast CT
por: Gang, Canxuan, et al.
Publicado: (2025)

Strong and Controllable 3D Motion Generation
por: Gang, Canxuan
Publicado: (2025)

S$^3$-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
por: Xie, Kangxian, et al.
Publicado: (2023)

Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
por: Xu, Chenlin, et al.
Publicado: (2025)

DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
por: Weihsbach, Christian, et al.
Publicado: (2023)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
por: Tan, Shengbo, et al.
Publicado: (2024)

I Can't Believe TTA Is Not Better: When Test-Time Augmentation Hurts Medical Image Classification
por: Medeiros, Daniel Nobrega
Publicado: (2026)

Seg-Agent: Test-Time Multimodal Reasoning for Training-Free Language-Guided Segmentation
por: Hao, Chao, et al.
Publicado: (2026)

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation
por: Wu, Jianghao, et al.
Publicado: (2026)

F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning
por: Li, Wei, et al.
Publicado: (2025)

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation
por: Boudiaf, Abderrahmene, et al.
Publicado: (2026)

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
por: Tan, Shengbo, et al.
Publicado: (2024)

Human Motion Prediction, Reconstruction, and Generation
por: Gang, Canxuan, et al.
Publicado: (2025)

Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation
por: Yang, Mu, et al.
Publicado: (2024)

SegTest: Metamorphic Testing of Image Segmentation via Guided Instance‐Level Test Data Augmentation
por: Zhonghao Hou, et al.
Publicado: (2024)

Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
por: Zu, Haiyue, et al.
Publicado: (2025)

Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement
por: Li, Haodong, et al.
Publicado: (2024)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
por: Li, Xingjian, et al.
Publicado: (2025)

TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
por: Zhou, Jiale, et al.
Publicado: (2025)

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
por: Imam, Raza, et al.
Publicado: (2025)

MedSeg-R: Medical Image Segmentation with Clinical Reasoning
por: Shao, Hao, et al.
Publicado: (2025)

BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models
por: Hu, Xuefeng, et al.
Publicado: (2024)

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
por: Chen, Zhi, et al.
Publicado: (2026)

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
por: He, Xingxin, et al.
Publicado: (2025)

StableTTA: Improving Vision Model Performance by Training-free Test-Time Adaptation Methods
por: Li, Zheng, et al.
Publicado: (2026)

SegGrasp: Zero-Shot Task-Oriented Grasping via Semantic and Geometric Guided Segmentation
por: Li, Haosheng, et al.
Publicado: (2024)

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
por: Li, Meihua, et al.
Publicado: (2026)

Pose2Seg: Detection Free Human Instance Segmentation
por: Zhang, Song-Hai, et al.
Publicado: (2018)

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
por: Kim, Jihun, et al.
Publicado: (2025)

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
por: Sun, Ye, et al.
Publicado: (2024)

InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
por: Lin, Jiayi, et al.
Publicado: (2024)

Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning
por: Zheng, Zixuan, et al.
Publicado: (2025)

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
por: Li, Changyu, et al.
Publicado: (2026)

SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
por: Li, Kaiyu, et al.
Publicado: (2024)

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
por: Xu, Qing, et al.
Publicado: (2025)

Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training
por: Zhang, Ruicheng, et al.
Publicado: (2025)

ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training
por: Liu, Weihuang, et al.
Publicado: (2024)

HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation
por: Jhawar, Kartik, et al.
Publicado: (2026)