Cover Image

A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Silva-Rodríguez, Julio, Chakor, Hadi, Kobbi, Riadh, Dolz, Jose, Ayed, Ismail Ben
Format:	Preprint
Published:	2023
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

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
by: Silva-Rodriguez, Julio, et al.
Published: (2024)

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
by: Silva-Rodríguez, Julio, et al.
Published: (2023)

ORION: ORthonormal Text Encoding for Universal VLM AdaptatION
by: Chakraborty, Omprakash, et al.
Published: (2026)

Conformal Prediction for Zero-Shot Models
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2023)

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Robust Calibration of Large Vision-Language Adapters
by: Murugesan, Balamurali, et al.
Published: (2024)

Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
by: Mishra, Shambhavi, et al.
Published: (2024)

Class and Region-Adaptive Constraints for Network Calibration
by: Murugesan, Balamurali, et al.
Published: (2024)

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

Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation
by: Hajimiri, Sina, et al.
Published: (2024)

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
by: Baklouti, Ghassen, et al.
Published: (2025)

Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
by: Murugesan, Balamurali, et al.
Published: (2023)

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

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

Class Adaptive Conformal Training
by: Marani, Badr-Eddine, et al.
Published: (2026)

Calibrating Segmentation Networks with Margin-based Label Smoothing
by: Murugesan, Balamurali, et al.
Published: (2022)

Are foundation models for computer vision good conformal predictors?
by: Fillioux, Leo, et al.
Published: (2024)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction
by: Lafon, Marc, et al.
Published: (2025)

Boosting Vision-Language Models with Transduction
by: Zanella, Maxime, et al.
Published: (2024)

Do not trust what you trust: Miscalibration in Semi-supervised Learning
by: Mishra, Shambhavi, et al.
Published: (2024)

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
by: Huang, Yunshi, et al.
Published: (2024)

Locality-Attending Vision Transformer
by: Hajimiri, Sina, et al.
Published: (2026)

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
by: Fillioux, Leo, et al.
Published: (2026)

Trust your neighbours: Penalty-based constraints for model calibration
by: Murugesan, Balamurali, et al.
Published: (2023)

Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
by: Murugesan, Balamurali, et al.
Published: (2024)

Language-Aware Information Maximization for Transductive Few-Shot CLIP
by: Baklouti, Ghassen, et al.
Published: (2025)

On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
by: Zanella, Maxime, et al.
Published: (2024)

REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
by: Beizaee, Farzad, et al.
Published: (2025)

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

Vocabulary-free few-shot learning for Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2025)

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
by: Fillioux, Leo, et al.
Published: (2026)

Boosting Vision-Language Models for Histopathology Classification: Predict all at once
by: Zanella, Maxime, et al.
Published: (2024)

VisionCLIP: An Med-AIGC based Ethical Language-Image Foundation Model for Generalizable Retina Image Analysis
by: Wei, Hao, et al.
Published: (2024)

FLAIR: VLM with Fine-grained Language-informed Image Representations
by: Xiao, Rui, et al.
Published: (2024)

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

ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation Model
by: Yang, Shengzhu, et al.
Published: (2024)

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
by: Mrabah, Nairouz, et al.
Published: (2025)