Cover Image

Quickly Tuning Foundation Models for Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Das, Breenda, Purucker, Lennart, Carstensen, Timur, Hutter, Frank
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Benchmarking Foundation Models for Tabular Data With Text
by: Mráz, Martin, et al.
Published: (2025)

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
by: Arazi, Alan, et al.
Published: (2026)

Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models
by: Bühler, Magnus, et al.
Published: (2026)

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
by: Parikh, Aditya, et al.
Published: (2026)

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

Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation
by: Vaish, Puru, et al.
Published: (2025)

Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
by: Das, Indrashis, et al.
Published: (2025)

Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features
by: Gildenblat, Jacob, et al.
Published: (2024)

PathoTune: Adapting Visual Foundation Model to Pathological Specialists
by: Lu, Jiaxuan, et al.
Published: (2024)

Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
by: Gelato, Riccardo, et al.
Published: (2026)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
by: Shi, Jiang-Xin, et al.
Published: (2023)

Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal Endoscopy
by: Roth, Marcel, et al.
Published: (2024)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition
by: Drozdova, Mariia, et al.
Published: (2024)

Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
by: Sun, Guangyu, et al.
Published: (2022)

A Foundation Model for General Moving Object Segmentation in Medical Images
by: Yan, Zhongnuo, et al.
Published: (2023)

Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification
by: Kvanchiani, Karina, et al.
Published: (2026)

Evaluating Representations with Readout Model Switching
by: Li, Yazhe, et al.
Published: (2023)

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)

CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification
by: Yang, Yang, et al.
Published: (2025)

Ice-FMBench: A Foundation Model Benchmark for Sea Ice Type Segmentation
by: Taleghan, Samira Alkaee, et al.
Published: (2025)

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
by: Tian, Junjiao, et al.
Published: (2024)

Domain-Aware Fine-Tuning of Foundation Models
by: Kaplan, Ugur Ali, et al.
Published: (2024)

CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
by: Hörst, Fabian, et al.
Published: (2025)

Single-Channel Tissue Segmentation via Cross-Modal Distillation from Foundation Models
by: Mohammad, Sakib, et al.
Published: (2026)

VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
by: Maduabuchi, Chika, et al.
Published: (2024)

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
by: Zhang, Peiyan, et al.
Published: (2023)

Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
by: Kerdegari, Hamideh, et al.
Published: (2024)

FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images
by: Zhao, Zhenyi, et al.
Published: (2025)

SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
by: Roddan, Alfie, et al.
Published: (2025)

Tied Prototype Model for Few-Shot Medical Image Segmentation
by: Kim, Hyeongji, et al.
Published: (2025)

Estimating Appearance Models for Image Segmentation via Tensor Factorization
by: Neto, Jeova Farias Sales Rocha
Published: (2022)

Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
by: Mansoori, Mobina, et al.
Published: (2025)

Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
by: Baran, Orhun Buğra, et al.
Published: (2026)

Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models
by: Brandstätter, Stefan, et al.
Published: (2025)

Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution
by: Deng, Handi, et al.
Published: (2024)

Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
by: Das, Sayan, et al.
Published: (2025)

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

Collaborating Foundation Models for Domain Generalized Semantic Segmentation
by: Benigmim, Yasser, et al.
Published: (2023)