Imagen de Portada

Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Umeike, Robinson, Getty, Neil, Xiangyu, Yin, Jiang, Yi
Formato:	Preprint
Publicado:	2025
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

Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis
por: Umeike, Robinson, et al.
Publicado: (2025)

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models
por: Umeike, Robinson, et al.
Publicado: (2024)

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
por: Li, Yuhang, et al.
Publicado: (2023)

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
por: Wu, Haoning, et al.
Publicado: (2023)

EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
por: Yao, Jingfeng, et al.
Publicado: (2024)

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
por: Wang, Teng, et al.
Publicado: (2025)

A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imaging
por: Laprade, William Michael, et al.
Publicado: (2025)

EchoApex: A General-Purpose Vision Foundation Model for Echocardiography
por: Amadou, Abdoul Aziz, et al.
Publicado: (2024)

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
por: Qu, Jingguo, et al.
Publicado: (2025)

AdaptSplat: Adapting Vision Foundation Models for Feed-Forward 3D Gaussian Splatting
por: Xing, Mingwei, et al.
Publicado: (2026)

When To Adapt? Adapting the Model or Data in Federated Medical Imaging
por: Shiranthika, Chamani, et al.
Publicado: (2026)

DuoGen: Towards General Purpose Interleaved Multimodal Generation
por: Shi, Min, et al.
Publicado: (2026)

Adapting a Segmentation Foundation Model for Medical Image Classification
por: Gu, Pengfei, et al.
Publicado: (2025)

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
por: Wen, Yuxuan, et al.
Publicado: (2024)

Contour Refinement using Discrete Diffusion in Low Data Regime
por: Guan, Fei Yu, et al.
Publicado: (2026)

AdaptFly: Prompt-Guided Adaptation of Foundation Models for Low-Altitude UAV Networks
por: Chen, Jiao, et al.
Publicado: (2025)

VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images
por: Wang, Deliang, et al.
Publicado: (2025)

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
por: Patricio, Alvaro, et al.
Publicado: (2025)

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

Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
por: Zhang, Bowen, et al.
Publicado: (2024)

Vision Foundation Models as Generalist Tokenizers for Image Generation
por: Zheng, Anlin, et al.
Publicado: (2026)

ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection
por: Heidari, Omid Reza, et al.
Publicado: (2025)

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes
por: Zhang, Chuyan, et al.
Publicado: (2025)

Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
por: Luo, Tao, et al.
Publicado: (2025)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially
por: Yang, Jingyun, et al.
Publicado: (2025)

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
por: Yang, Yuhuan, et al.
Publicado: (2025)

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
por: Zou, Xuechao, et al.
Publicado: (2024)

Adapting Foundation Models for Annotation-Efficient Adnexal Mass Segmentation in Cine Images
por: Fati, Francesca, et al.
Publicado: (2026)

Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
por: Fang, Donghai, et al.
Publicado: (2026)

K-Syn: K-space Data Synthesis in Ultra Low-data Regimes
por: Yu, Guan, et al.
Publicado: (2025)

Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes
por: Demidov, Dmitry, et al.
Publicado: (2024)

Taming Generative Synthetic Data for X-ray Prohibited Item Detection
por: Sun, Jialong, et al.
Publicado: (2025)

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement
por: Sun, Xiaoran, et al.
Publicado: (2025)

Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings
por: Moenck, Keno, et al.
Publicado: (2024)

Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras
por: Cui, Beilei, et al.
Publicado: (2025)

Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification
por: Sun, Xiangyu, et al.
Publicado: (2025)

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
por: Vilouras, Konstantinos, et al.
Publicado: (2025)

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
por: Chen, Zhihong, et al.
Publicado: (2024)

Robustness of Vision Foundation Models to Common Perturbations
por: Liu, Hongbin, et al.
Publicado: (2026)

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging
por: Li, Yitong, et al.
Publicado: (2025)