:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Tong, Wang, Jiaqi, Kong, Shu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2506.01724
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
by: Zhong, Lanfeng, et al.
Published: (2025)

Active Learning for Vision-Language Models
by: Safaei, Bardia, et al.
Published: (2024)

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

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
by: Wang, Jiaqi, et al.
Published: (2025)

Dynamic Rank Adaptation for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
by: Chi, Haohan, et al.
Published: (2025)

Disease-informed Adaptation of Vision-Language Models
by: Zhang, Jiajin, et al.
Published: (2024)

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

Active Prompt Learning in Vision Language Models
by: Bang, Jihwan, et al.
Published: (2023)

EvoVLMA: Evolutionary Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2025)

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

A Survey of Low-shot Vision-Language Model Adaptation via Representer Theorem
by: Ding, Kun, et al.
Published: (2024)

Cascade Prompt Learning for Vision-Language Model Adaptation
by: Wu, Ge, et al.
Published: (2024)

SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
by: Jin, Ying, et al.
Published: (2024)

Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval
by: Wang, Tong, et al.
Published: (2026)

Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models
by: Li, Yongguang, et al.
Published: (2025)

Active Prompt Learning with Vision-Language Model Priors
by: Kim, Hoyoung, et al.
Published: (2024)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)

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

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

Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning
by: Wang, Qian-Wei, et al.
Published: (2026)

Mixture of Prompt Learning for Vision Language Models
by: Du, Yu, et al.
Published: (2024)

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

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
by: Narayanan, Athmanarayanan Lakshmi, et al.
Published: (2025)

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
by: Ye, Jiacheng, et al.
Published: (2025)

Enhanced Continual Learning of Vision-Language Models with Model Fusion
by: Gao, Haoyuan, et al.
Published: (2025)

ViLAaD: Enhancing "Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model
by: Tarashima, Shuhei, et al.
Published: (2025)

PromptGate Client Adaptive Vision Language Gating for Open Set Federated Active Learning
by: Nesturi, Adea, et al.
Published: (2026)

Leveraging Vision-Language Models as Weak Annotators in Active Learning
by: Nguyen, Phuong Ngoc, et al.
Published: (2026)

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models
by: Wang, Xin, et al.
Published: (2026)

Vision-Language Model IP Protection via Prompt-based Learning
by: Wang, Lianyu, et al.
Published: (2025)

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
by: Chen, Dexia, et al.
Published: (2025)

VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
by: Qi, Zhangyang, et al.
Published: (2025)

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
by: Wang, Jiaqi, et al.
Published: (2024)

Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
by: Tong, Ran, et al.
Published: (2025)

Robust Fairness Vision-Language Learning for Medical Image Analysis
by: Bansal, Sparsh, et al.
Published: (2025)

Conflict Adaptation in Vision-Language Models
by: Hu, Xiaoyang
Published: (2025)

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

A Training-Free Guess What Vision Language Model from Snippets to Open-Vocabulary Object Detection
by: Zhu, Guiying, et al.
Published: (2026)

Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models
by: Khan, Md Azim, et al.
Published: (2025)