Image de couverture de livre

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kainz, Bernhard, Mueller, Johanna P, Baugh, Matthew, Bercea, Cosmin
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks
par: Müller, Johanna P., et autres
Publié: (2024)

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
par: Wong, Chun Kit, et autres
Publié: (2025)

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
par: Hagen, Luca, et autres
Publié: (2026)

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation
par: Reynaud, Hadrien, et autres
Publié: (2024)

Towards Universal Unsupervised Anomaly Detection in Medical Imaging
par: Bercea, Cosmin I., et autres
Publié: (2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
par: Li, Liu, et autres
Publié: (2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
par: Marimont, Sergio Naval, et autres
Publié: (2024)

Denoising Diffusion Models for Anomaly Localization in Medical Images
par: Bercea, Cosmin I., et autres
Publié: (2024)

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
par: Marimont, Sergio Naval, et autres
Publié: (2023)

LCMem: A Universal Model for Robust Image Memorization Detection
par: Dombrowski, Mischa, et autres
Publié: (2025)

Image Distillation for Safe Data Sharing in Histopathology
par: Li, Zhe, et autres
Publié: (2024)

The Learnability Gap in Medical Latent Diffusion
par: Dombrowski, Mischa, et autres
Publié: (2026)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection
par: Bercea, Cosmin I., et autres
Publié: (2024)

Semantic Alignment of Unimodal Medical Text and Vision Representations
par: Di Folco, Maxime, et autres
Publié: (2025)

Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
par: Nützel, Felix, et autres
Publié: (2026)

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex
par: Hooft, Donnate, et autres
Publié: (2026)

Pallet Detection And Localisation From Synthetic Data
par: Mueller, Henri, et autres
Publié: (2025)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
par: Wu, Peiran, et autres
Publié: (2024)

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models
par: Nützel, Felix, et autres
Publié: (2025)

Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis
par: Li, Zhe, et autres
Publié: (2025)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
par: Cechnicka, Sarah, et autres
Publié: (2025)

How to train your ViT for OOD Detection
par: Mueller, Maximilian, et autres
Publié: (2024)

Mahalanobis++: Improving OOD Detection via Feature Normalization
par: Mueller, Maximilian, et autres
Publié: (2025)

URCDM: Ultra-Resolution Image Synthesis in Histopathology
par: Cechnicka, Sarah, et autres
Publié: (2024)

Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity
par: Li, Zuoou, et autres
Publié: (2025)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
par: Yang, William, et autres
Publié: (2023)

ShapePuri: Shape Guided and Appearance Generalized Adversarial Purification
par: Li, Zhe, et autres
Publié: (2026)

Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models
par: Dombrowski, Mischa, et autres
Publié: (2025)

An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
par: Lee, Yuxiao, et autres
Publié: (2025)

Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models
par: Khan, Muhammad Haaris, et autres
Publié: (2024)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
par: Erick, Franciskus Xaverius, et autres
Publié: (2026)

PixOOD: Pixel-Level Out-of-Distribution Detection
par: Vojíř, Tomáš, et autres
Publié: (2024)

InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
par: Li, Zhe, et autres
Publié: (2025)

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
par: Zhao, Wenjie, et autres
Publié: (2026)

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
par: Li, Jinglun, et autres
Publié: (2025)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
par: Isaac-Medina, Brian K. S., et autres
Publié: (2024)

Detecting Outliers with Foreign Patch Interpolation
par: Tan, Jeremy, et autres
Publié: (2020)

Leveraging Multi-Modal Information to Enhance Dataset Distillation
par: Li, Zhe, et autres
Publié: (2025)

GRASP: Guided Residual Adapters with Sample-wise Partitioning
par: Nützel, Felix, et autres
Publié: (2025)

Image Generation Diversity Issues and How to Tame Them
par: Dombrowski, Mischa, et autres
Publié: (2024)