Cover Image

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yuncheng, Zhang, Chuyan, Yang, Zuopeng, Gao, Yuting, Qin, Yulei, Li, Ke, Sun, Xing, Yang, Jie, Gu, Yun
Format:	Preprint
Published:	2024
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

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models
by: Guo, Yuncheng, et al.
Published: (2025)

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
by: Qin, Yulei, et al.
Published: (2024)

MMRL: Multi-Modal Representation Learning for Vision-Language Models
by: Guo, Yuncheng, et al.
Published: (2025)

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation
by: Zhang, Chuyan, et al.
Published: (2024)

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

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes
by: Zhang, Chuyan, et al.
Published: (2025)

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

Beyond Perceptual Distances: Rethinking Disparity Assessment for Out-of-Distribution Detection with Diffusion Models
by: Fang, Kun, et al.
Published: (2024)

Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
by: Yang, Yongjin, et al.
Published: (2023)

InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models
by: Zhou, Shuchang, et al.
Published: (2025)

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

TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation
by: Lin, Xin, et al.
Published: (2024)

RCP: Representation Consistency Pruner for Mitigating Distribution Shift in Large Vision-Language Models
by: Zhang, Jianwei, et al.
Published: (2026)

Integrated Structural Prompt Learning for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)

Self-Adversarial One Step Generation via Condition Shifting
by: Liu, Deyuan, et al.
Published: (2026)

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts
by: Li, Honglin, et al.
Published: (2024)

Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
by: Li, Chenyu, et al.
Published: (2024)

BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
by: Wang, Hongyu, et al.
Published: (2025)

Debiased Fine-Tuning for Vision-language Models by Prompt Regularization
by: Zhu, Beier, et al.
Published: (2023)

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

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

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

Feature Projection Learning for Better Vision-Language Reasoning
by: Zhang, Yi, et al.
Published: (2026)

Distraction is All You Need for Multimodal Large Language Model Jailbreaking
by: Yang, Zuopeng, et al.
Published: (2025)

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
by: Yang, Jie, et al.
Published: (2025)

Revisiting Prompt Pretraining of Vision-Language Models
by: Chen, Zhenyuan, et al.
Published: (2024)

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

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

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

Transitive Vision-Language Prompt Learning for Domain Generalization
by: Wang, Liyuan, et al.
Published: (2024)

Quantized Prompt for Efficient Generalization of Vision-Language Models
by: Hao, Tianxiang, et al.
Published: (2024)

Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
by: Xing, Xiaodan, et al.
Published: (2024)

SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection
by: Lin, Xin, et al.
Published: (2025)

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
by: Farina, Matteo, et al.
Published: (2024)

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
by: Tian, Xinyu, et al.
Published: (2023)

FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing
by: Dang, Yunkai, et al.
Published: (2025)

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

Towards Calibrating Prompt Tuning of Vision-Language Models
by: Sharifdeen, Ashshak, et al.
Published: (2026)

Hierarchical Dual-Subspace Decoupling for Continual Learning in Vision-Language Models
by: Qin, Mengxin, et al.
Published: (2026)