Imagen de Portada

Class and Region-Adaptive Constraints for Network Calibration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Murugesan, Balamurali, Silva-Rodriguez, Julio, Ayed, Ismail Ben, Dolz, Jose
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
por: Silva-Rodríguez, Julio, et al.
Publicado: (2023)

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

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

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

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

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

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

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

Locality-Attending Vision Transformer
por: Hajimiri, Sina, et al.
Publicado: (2026)

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

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

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

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

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

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

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
por: Belharbi, Soufiane, et al.
Publicado: (2023)

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

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

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

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

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

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
por: Beizaee, Farzad, et al.
Publicado: (2025)

UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
por: Zhou, Long, et al.
Publicado: (2024)

Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
por: Chiaroni, Florent, et al.
Publicado: (2022)