Cover Image

Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Talks, Joshua, Marchesini, Kevin, Lumetti, Luca, Bolelli, Federico, Kreshuk, Anna
Format:	Preprint
Published:	2025
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

Taming Mambas for Voxel Level 3D Medical Image Segmentation
by: Lumetti, Luca, et al.
Published: (2024)

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
by: Almpanakis, Konstantinos, et al.
Published: (2026)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
by: Shi, Yulong, et al.
Published: (2025)

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
by: Gao, Zhitong, et al.
Published: (2024)

Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
by: Shoushtari, Shirin, et al.
Published: (2025)

Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
by: Li, Haosheng, et al.
Published: (2025)

Hierarchical Vector Quantization for Unsupervised Action Segmentation
by: Spurio, Federico, et al.
Published: (2024)

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
by: Ciampi, Luca, et al.
Published: (2024)

FreePoint: Unsupervised Point Cloud Instance Segmentation
by: Zhang, Zhikai, et al.
Published: (2023)

Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
by: Ciampi, Luca, et al.
Published: (2025)

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
by: Zeng, Hongye, et al.
Published: (2024)

Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
by: Xu, Ganxi, et al.
Published: (2025)

Lost in Translation? Vocabulary Alignment for Source-Free Adaptation in Open-Vocabulary Semantic Segmentation
by: Mazzucco, Silvio, et al.
Published: (2025)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
by: Shu, Yangyang, et al.
Published: (2024)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)

Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
by: Buglakova, Elena, et al.
Published: (2025)

FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
by: Forni, Bernardo, et al.
Published: (2025)

Unsupervised Pre-Training for 3D Leaf Instance Segmentation
by: Roggiolani, Gianmarco, et al.
Published: (2024)

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

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

Segmenting Low-Contrast XCTs of Concretes: An Unsupervised Approach
by: Das, Kaustav, et al.
Published: (2026)

Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentation
by: Gökay, Uzay, et al.
Published: (2025)

Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
by: Chen, Xi, et al.
Published: (2024)

Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning
by: Tang, Luyao, et al.
Published: (2024)

Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
by: Khan, Behraj, et al.
Published: (2025)

Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
by: Efthymiadis, Nikos, et al.
Published: (2024)

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters
by: Mitsuoka, Hinako, et al.
Published: (2026)

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift
by: Fang, Yizhou, et al.
Published: (2026)

A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
by: Yu, Jiaping, et al.
Published: (2025)

Unsupervised Semantic Segmentation Facilitates Model Understanding
by: Yu, Xiaoyan, et al.
Published: (2026)

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
by: Zhang, Haojie, et al.
Published: (2023)

CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
by: Sammani, Fawaz, et al.
Published: (2025)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
by: Wang, Yucheng, et al.
Published: (2024)

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
by: Dahal, Lavsen, et al.
Published: (2026)

Tell2Adapt: A Unified Framework for Source Free Unsupervised Domain Adaptation via Vision Foundation Model
by: Shi, Yulong, et al.
Published: (2026)

FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
by: Yashwanth, M, et al.
Published: (2025)

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
by: Teuber, Carolin, et al.
Published: (2025)

Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
by: Li, Yongguang, et al.
Published: (2024)

Probabilistic Domain Adaptation for Biomedical Image Segmentation
by: Archit, Anwai, et al.
Published: (2023)

Model Adaptation: Unsupervised Domain Adaptation without Source Data
by: Li, Rui, et al.
Published: (2025)