Cover Image

Unleashing Vision Transformer Potential In Image Quality Assessment via Global-Local Adaptive Interaction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yu, Zhou, Puchao, Mi, Yachun, Wu, Yanfeng, Wang, Xiaoming, Liu, Shaohui
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

Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
by: Mi, Yachun, et al.
Published: (2025)

MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment
by: Mi, Yachun, et al.
Published: (2025)

Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models
by: Song, Chenyue, et al.
Published: (2025)

UGD-IML: A Unified Generative Diffusion-based Framework for Constrained and Unconstrained Image Manipulation Localization
by: Mi, Yachun, et al.
Published: (2025)

Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision
by: Wei, Zhixiang, et al.
Published: (2026)

MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
by: Liu, Yunze, et al.
Published: (2024)

Progressive Retinal Image Registration via Global and Local Deformable Transformations
by: Liu, Yepeng, et al.
Published: (2024)

EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
by: Chow, Wei, et al.
Published: (2025)

BPCLIP: A Bottom-up Image Quality Assessment from Distortion to Semantics Based on CLIP
by: Song, Chenyue, et al.
Published: (2025)

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
by: Yu, Bin, et al.
Published: (2026)

Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
by: Cheng, Zhiheng, et al.
Published: (2024)

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
by: Yang, Zizheng, et al.
Published: (2025)

Revisiting Vision Language Foundations for No-Reference Image Quality Assessment
by: Yadav, Ankit, et al.
Published: (2025)

Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment
by: Zhou, Fei, et al.
Published: (2024)

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
by: Norouzi, Narges, et al.
Published: (2024)

ChangeViT: Unleashing Plain Vision Transformers for Change Detection
by: Zhu, Duowang, et al.
Published: (2024)

Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
by: Benito-Del-Valle, Leire, et al.
Published: (2024)

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

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation
by: Li, Baoteng, et al.
Published: (2026)

AgenticIQA: An Agentic Framework for Adaptive and Interpretable Image Quality Assessment
by: Zhu, Hanwei, et al.
Published: (2025)

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads
by: Li, Yifan, et al.
Published: (2025)

IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
by: Ma, Xiaochen, et al.
Published: (2023)

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
by: Ma, Chiyu, et al.
Published: (2024)

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
by: Zhao, Xinyuan, et al.
Published: (2026)

Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
by: Wen, Wen, et al.
Published: (2025)

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
by: Liu, Jiyao, et al.
Published: (2026)

Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
by: Yu, Bo, et al.
Published: (2026)

Content-Distortion High-Order Interaction for Blind Image Quality Assessment
by: Liu, Shuai, et al.
Published: (2025)

Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
by: Zhang, Yichi, et al.
Published: (2024)

Employing Vision-Language Models for Face Image Quality Assessment
by: Sarıtaş, Erdi, et al.
Published: (2026)

No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
by: Wang, Xiaoqi, et al.
Published: (2024)

DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
by: Li, Haochen, et al.
Published: (2026)

AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting
by: Su, Xin, et al.
Published: (2025)

ViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers
by: Ozgur, Guray, et al.
Published: (2026)

Contrastive Local Manifold Learning for No-Reference Image Quality Assessment
by: Huang, Zihao, et al.
Published: (2024)

Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures
by: Luo, Yuechen, et al.
Published: (2026)

Lightweight Vision Transformer with Bidirectional Interaction
by: Fan, Qihang, et al.
Published: (2023)

Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection
by: Zhang, Zhihao, et al.
Published: (2025)

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning
by: Chen, Zewen, et al.
Published: (2024)

Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
by: Wang, Ziyin, et al.
Published: (2026)