:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiahui, Xu, Qin, Jiang, Bo, Luo, Bin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2507.05677
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Illusion-Aware Visual Preprocessing and Anti-Illusion Prompting for Classic Illusion Understanding in Vision-Language Models
by: Zha, Junli, et al.
Published: (2026)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
by: Ding, Yuhe, et al.
Published: (2024)

Adversarial Prompt Distillation for Vision-Language Models
by: Luo, Lin, et al.
Published: (2024)

HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
by: Zhao, Yumiao, et al.
Published: (2024)

HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
by: Wang, Yubin, et al.
Published: (2024)

Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
by: Xu, Qin, et al.
Published: (2024)

Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
by: Liu, Xinyang, et al.
Published: (2023)

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

In the Era of Prompt Learning with Vision-Language Models
by: Jha, Ankit
Published: (2024)

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

Modeling Variants of Prompts for Vision-Language Models
by: Li, Ao, et al.
Published: (2025)

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models
by: Yang, Shijun, et al.
Published: (2025)

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
by: Zhu, Kangyu, et al.
Published: (2025)

PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues
by: Qi, Yukun, et al.
Published: (2026)

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

DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation
by: Liu, Ting, et al.
Published: (2023)

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
by: Yang, Yuncheng, et al.
Published: (2024)

Modular Prompt Learning Improves Vision-Language Models
by: Huang, Zhenhan, et al.
Published: (2025)

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

Consistency-guided Prompt Learning for Vision-Language Models
by: Roy, Shuvendu, et al.
Published: (2023)

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

Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models
by: Jia, Xiaojun, et al.
Published: (2025)

Adversarial Prompt Tuning for Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2023)

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
by: Li, Haoyang, et al.
Published: (2025)

Debiased Prompt Tuning in Vision-Language Model without Annotations
by: Jiang, Chaoquan, et al.
Published: (2025)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
by: Li, Zheng, et al.
Published: (2024)

Efficient Test-Time Prompt Tuning for Vision-Language Models
by: Zhu, Yuhan, et al.
Published: (2024)

Multi-modal Attribute Prompting for Vision-Language Models
by: Liu, Xin, et al.
Published: (2024)

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
by: Chen, Minglei, et al.
Published: (2026)

Calibration-Aware Prompt Learning for Medical Vision-Language Models
by: Basu, Abhishek, et al.
Published: (2025)

Hierarchical Cross-modal Prompt Learning for Vision-Language Models
by: Zheng, Hao, et al.
Published: (2025)

Diversity Covariance-Aware Prompt Learning for Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)

Concept-Guided Prompt Learning for Generalization in Vision-Language Models
by: Zhang, Yi, et al.
Published: (2024)

Learning to Prompt with Text Only Supervision for Vision-Language Models
by: Khattak, Muhammad Uzair, et al.
Published: (2024)

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
by: Luo, Jun, et al.
Published: (2024)

FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
by: Zhai, Kun, et al.
Published: (2025)

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
by: Liao, Xinting, et al.
Published: (2025)

Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models
by: Zhang, Enming, et al.
Published: (2024)

Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models
by: Li, Haoyang, et al.
Published: (2025)