Cover Image

Semi-Supervised Few-Shot Adaptation of Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Silva-Rodríguez, Julio, Konukoglu, Ender
Format:	Preprint
Published:	2026
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

Trustworthy Endoscopic Super-Resolution
by: Silva-Rodríguez, Julio, et al.
Published: (2026)

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

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
by: An, Zhaochong, et al.
Published: (2025)

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

Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture
by: Schulthess, Nico, et al.
Published: (2025)

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

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

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence
by: Tombak, Guney, et al.
Published: (2026)

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)

Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language Model
by: Lee, SuBeen, et al.
Published: (2025)

Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection
by: Erdil, Ertunc, et al.
Published: (2026)

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

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

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)

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

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification
by: Wang, Zhongqi, et al.
Published: (2025)

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
by: Zhao, Linglan, et al.
Published: (2021)

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
by: Xu, Rui, et al.
Published: (2022)

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

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI
by: Himmetoglu, Meva, et al.
Published: (2025)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
by: Farina, Matteo, et al.
Published: (2025)

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation
by: Roy, Shuvendu, et al.
Published: (2025)

Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
by: Cekmeceli, Kerem, et al.
Published: (2024)

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
by: Li, Yushu, et al.
Published: (2024)

Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
by: Dong, Xingping, et al.
Published: (2022)

Revisiting Few-Shot Object Detection with Vision-Language Models
by: Madan, Anish, et al.
Published: (2023)

Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
by: Ma, Qi, et al.
Published: (2024)

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

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

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation
by: Zhou, Yuli, et al.
Published: (2024)

Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
by: Maji, Souvik, et al.
Published: (2025)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
by: Lyu, Fan, et al.
Published: (2025)

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

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

ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
by: Ma, Qi, et al.
Published: (2024)

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
by: Tran, Phi Vu
Published: (2023)

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
by: Liu, Tian, et al.
Published: (2025)

FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling
by: Hamid, Kaiser, et al.
Published: (2025)

Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
by: Ueno, Shiryu, et al.
Published: (2025)