Cover Image

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fuster-Barceló, Caterina, Uhlmann, Virginie
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy
by: Teuber, Carolin, et al.
Published: (2026)

GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation
by: Liang, Zhuonan, et al.
Published: (2026)

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

Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
by: Guo, Jiaqi, et al.
Published: (2025)

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

Towards noise contrastive estimation with soft targets for conditional models
by: Hugger, Johannes, et al.
Published: (2024)

Annotation Free Semantic Segmentation with Vision Foundation Models
by: Seifi, Soroush, et al.
Published: (2024)

Vision-Language Semantic Aggregation Leveraging Foundation Model for Generalizable Medical Image Segmentation
by: Yu, Wenjun, et al.
Published: (2025)

Image Segmentation in Foundation Model Era: A Survey
by: Zhou, Tianfei, et al.
Published: (2024)

Foundation Models for Biomedical Image Segmentation: A Survey
by: Lee, Ho Hin, et al.
Published: (2024)

Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
by: Liang, Pengchen, et al.
Published: (2025)

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

Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
by: Lv, Chonghua, et al.
Published: (2026)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
by: Wei, Zhixiang, et al.
Published: (2025)

Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
by: Li, Xinhui, et al.
Published: (2025)

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

Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
by: Cekmeceli, Kerem, et al.
Published: (2024)

SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
by: Garcia-Lopez-de-Haro, Carlos, et al.
Published: (2025)

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

Looking Locally: Object-Centric Vision Transformers as Foundation Models for Efficient Segmentation
by: Traub, Manuel, et al.
Published: (2025)

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
by: Amini, Kooshan, et al.
Published: (2025)

Quickly Tuning Foundation Models for Image Segmentation
by: Das, Breenda, et al.
Published: (2025)

Quantification and Classification of Carbon Nanotubes in Electron Micrographs using Vision Foundation Models
by: Pradeep, Sanjay, et al.
Published: (2026)

Robustness Analysis on Foundational Segmentation Models
by: Schiappa, Madeline Chantry, et al.
Published: (2023)

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
by: Chen, Keyan, et al.
Published: (2025)

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

Bridging Foundation Models and ASTM Metallurgical Standards for Automated Grain Size Estimation from Microscopy Images
by: Mueez, Abdul, et al.
Published: (2026)

FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation
by: Zhang, Xiaokang, et al.
Published: (2026)

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching
by: Liu, Yuhan, et al.
Published: (2025)

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
by: Peng, Wenshuo, et al.
Published: (2024)

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
by: Mahbod, Amirreza, et al.
Published: (2025)

GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models
by: Hao, Jing, et al.
Published: (2023)

Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
by: Wei, Zhixiang, et al.
Published: (2023)

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
by: Shi, Yuheng, et al.
Published: (2024)

Sapiens: Foundation for Human Vision Models
by: Khirodkar, Rawal, et al.
Published: (2024)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
by: Zhang, Chaoning, et al.
Published: (2023)

Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models
by: Farronato, Nicola, et al.
Published: (2026)

Curriculum Prompting Foundation Models for Medical Image Segmentation
by: Zheng, Xiuqi, et al.
Published: (2024)

Boosting Medical Image Classification with Segmentation Foundation Model
by: Gu, Pengfei, et al.
Published: (2024)