Cover Image

Disease-informed Adaptation of Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jiajin, Wang, Ge, Kalra, Mannudeep K., Yan, Pingkun
Format:	Preprint
Published:	2024
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

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
by: Yang, Zefan, et al.
Published: (2024)

Chest X-ray Foundation Model with Global and Local Representations Integration
by: Yang, Zefan, et al.
Published: (2025)

X-WIN: Building Chest Radiograph World Model via Predictive Sensing
by: Yang, Zefan, et al.
Published: (2025)

Xray2Xray: World Model from Chest X-rays with Volumetric Context
by: Yang, Zefan, et al.
Published: (2025)

Fact-Checking of AI-Generated Reports
by: Mahmood, Razi, et al.
Published: (2023)

Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings
by: Mahmood, Razi, et al.
Published: (2024)

Specialty-Oriented Generalist Medical AI for Chest CT Screening
by: Niu, Chuang, et al.
Published: (2023)

Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
by: Mahmood, Razi, et al.
Published: (2025)

Explaining Chest X-ray Pathology Models using Textual Concepts
by: Sadashivaiah, Vijay, et al.
Published: (2024)

Cascade Prompt Learning for Vision-Language Model Adaptation
by: Wu, Ge, et al.
Published: (2024)

Vision-Language Models for Automated 3D PET/CT Report Generation
by: Jiao, Wenpei, et al.
Published: (2025)

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning
by: Guan, Jiajin, et al.
Published: (2025)

Dynamic Rank Adaptation for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)

General Purpose Image Encoder DINOv2 for Medical Image Registration
by: Song, Xinrui, et al.
Published: (2024)

Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT
by: Reyes, Diego Machado, et al.
Published: (2024)

EvoVLMA: Evolutionary Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2025)

GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning
by: Liu, Jiajin, et al.
Published: (2026)

Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
by: Li, Xudong, et al.
Published: (2024)

Active Learning via Vision-Language Model Adaptation with Open Data
by: Wang, Tong, et al.
Published: (2025)

Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2024)

Prototype-Based Test-Time Adaptation of Vision-Language Models
by: Huang, Zhaohong, et al.
Published: (2026)

Negation-Aware Test-Time Adaptation for Vision-Language Models
by: Han, Haochen, et al.
Published: (2025)

Attention! Your Vision Language Model Could Be Maliciously Manipulated
by: Wang, Xiaosen, et al.
Published: (2025)

Flatness Guided Test-Time Adaptation for Vision-Language Models
by: Li, Aodi, et al.
Published: (2025)

Conflict Adaptation in Vision-Language Models
by: Hu, Xiaoyang
Published: (2025)

Closed-Loop Transfer for Weakly-supervised Affordance Grounding
by: Tang, Jiajin, et al.
Published: (2025)

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
by: Chen, Zhi, et al.
Published: (2025)

Few-shot Adaptation of Medical Vision-Language Models
by: Shakeri, Fereshteh, et al.
Published: (2024)

Efficient Test-Time Adaptation of Vision-Language Models
by: Karmanov, Adilbek, et al.
Published: (2024)

Realistic Test-Time Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2025)

Bayesian Test-Time Adaptation for Vision-Language Models
by: Zhou, Lihua, et al.
Published: (2025)

Full Conformal Adaptation of Medical Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Mario: Multimodal Graph Reasoning with Large Language Models
by: Sun, Yuanfu, et al.
Published: (2026)

Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis
by: Yan, Siyuan, et al.
Published: (2024)

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)

Evolving Prompt Adaptation for Vision-Language Models
by: Zhang, Enming, et al.
Published: (2026)

Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models
by: Zhai, Haotian, et al.
Published: (2025)

Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models
by: Khan, Md Azim, et al.
Published: (2025)

Low-Rank Few-Shot Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2024)

Semi-Supervised Few-Shot Adaptation of Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2026)