Cover Image

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lafon, Marc, Hakim, Gustavo Adolfo Vargas, Rambour, Clément, Desrosier, Christian, Thome, Nicolas
Format:	Preprint
Published:	2025
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

GalLoP: Learning Global and Local Prompts for Vision-Language Models
by: Lafon, Marc, et al.
Published: (2024)

Energy Correction Model in the Feature Space for Out-of-Distribution Detection
by: Lafon, Marc, et al.
Published: (2024)

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

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
by: Couairon, Paul, et al.
Published: (2023)

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

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

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
by: Stym-Popper, Jérémie, et al.
Published: (2025)

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

Online Gaussian Test-Time Adaptation of Vision-Language Models
by: Fuchs, Clément, et al.
Published: (2025)

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

Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging
by: Yazdanpanah, Moslem, et al.
Published: (2025)

CLIPArTT: Adaptation of CLIP to New Domains at Test Time
by: Hakim, Gustavo Adolfo Vargas, et al.
Published: (2024)

Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation
by: Noori, Mehrdad, et al.
Published: (2026)

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

Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
by: Qiao, Xiaozhen, et al.
Published: (2025)

NC-TTT: A Noise Contrastive Approach for Test-Time Training
by: Osowiechi, David, et al.
Published: (2024)

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

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

TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
by: Dastani, Sahar, et al.
Published: (2025)

Ultra-Light Test-Time Adaptation for Vision--Language Models
by: Kim, Byunghyun
Published: (2025)

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

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

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

Understanding the Double Descent Phenomenon in Deep Learning
by: Lafon, Marc, et al.
Published: (2024)

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

Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models
by: Nguyen, Khanh-Binh, et al.
Published: (2025)

Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation
by: Gao, Junyu, et al.
Published: (2023)

TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
by: Li, Zhiwei, et al.
Published: (2025)

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection
by: Bao, Wenxuan, et al.
Published: (2026)

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

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations
by: Liang, Yiwen, et al.
Published: (2025)

Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
by: Qiao, Xiaozhen, et al.
Published: (2025)

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
by: Zhang, Taolin, et al.
Published: (2024)

Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
by: Sreenivas, Manogna, et al.
Published: (2024)

Frustratingly Easy Test-Time Adaptation of Vision-Language Models
by: Farina, Matteo, et al.
Published: (2024)

ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models
by: Luo, Wei, et al.
Published: (2026)

A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models
by: Döbler, Mario, et al.
Published: (2024)

Spectral Informed Mamba for Robust Point Cloud Processing
by: Bahri, Ali, et al.
Published: (2025)

ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates
by: Dastmalchi, Hamidreza, et al.
Published: (2025)

Majorization-Guided Test-Time Adaptation for Vision-Language Models under Modality-Specific Shift
by: Chen, Lixian, et al.
Published: (2026)