Copertina

Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mishra, Shambhavi, Silva-Rodriguez, Julio, Ayed, Ismail Ben, Pedersoli, Marco, Dolz, Jose
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
di: Noori, Mehrdad, et al.
Pubblicazione: (2025)

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

VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
di: Belal, Atif, et al.
Pubblicazione: (2025)

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

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

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

Locality-Attending Vision Transformer
di: Hajimiri, Sina, et al.
Pubblicazione: (2026)

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

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
di: Bahri, Ali, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

WATT: Weight Average Test-Time Adaptation of CLIP
di: Osowiechi, David, et al.
Pubblicazione: (2024)

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

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

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

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
di: Lafon, Marc, et al.
Pubblicazione: (2025)

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