Copertina

Convolutions Need Registers Too: HVS-Inspired Dynamic Attention for Video Quality Assessment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mithila, Mayesha Maliha R., Farias, Mylene C. Q.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MS-SCANet: A Multiscale Transformer-Based Architecture with Dual Attention for No-Reference Image Quality Assessment
di: Mithila, Mayesha Maliha R., et al.
Pubblicazione: (2026)

Multimodal Confidence Modeling in Audio-Visual Quality Assessment
di: Mithila, Mayesha Maliha R., et al.
Pubblicazione: (2026)

Perceptual Video Quality Assessment: A Survey
di: Min, Xiongkuo, et al.
Pubblicazione: (2024)

Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
di: Sun, Wei, et al.
Pubblicazione: (2024)

Temporal Inconsistency Guidance for Super-resolution Video Quality Assessment
di: Li, Yixiao, et al.
Pubblicazione: (2024)

LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space
di: Qu, Qiang, et al.
Pubblicazione: (2023)

Context and Pixel Aware Large Language Model for Video Quality Assessment
di: Wen, Wen, et al.
Pubblicazione: (2025)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
di: Smirnov, Maksim, et al.
Pubblicazione: (2024)

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
di: Molodetskikh, Ivan, et al.
Pubblicazione: (2024)

CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
di: Wang, Xinyi, et al.
Pubblicazione: (2025)

Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
di: Sun, Wei, et al.
Pubblicazione: (2023)

ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
di: Wang, Xinyi, et al.
Pubblicazione: (2024)

Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images
di: Zhou, Wei, et al.
Pubblicazione: (2024)

Image Quality Assessment: From Human to Machine Preference
di: Li, Chunyi, et al.
Pubblicazione: (2025)

Fine-grained Image Quality Assessment for Perceptual Image Restoration
di: Sheng, Xiangfei, et al.
Pubblicazione: (2025)

ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
di: Chen, Yixu, et al.
Pubblicazione: (2025)

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
di: Montilla, Ignacio Hernández, et al.
Pubblicazione: (2025)

Audio-Visual Quality Assessment for User Generated Content: Database and Method
di: Cao, Yuqin, et al.
Pubblicazione: (2023)

Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging?
di: Miao, Hongyi, et al.
Pubblicazione: (2025)

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms
di: Naderi, Babak, et al.
Pubblicazione: (2025)

DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality
di: Wang, Xinyi, et al.
Pubblicazione: (2025)

UPDA: Unsupervised Progressive Domain Adaptation for No-Reference Point Cloud Quality Assessment
di: Xie, Bingxu, et al.
Pubblicazione: (2026)

An Efficient Quality Metric for Video Frame Interpolation Based on Motion-Field Divergence
di: Daly, Conall, et al.
Pubblicazione: (2025)

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model
di: Jiang, Yanwei, et al.
Pubblicazione: (2026)

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality
di: Kerkouri, Mohamed Amine, et al.
Pubblicazione: (2025)

LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
di: Avanaki, Nasim Jamshidi, et al.
Pubblicazione: (2024)

TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
di: Sheng, Xiangfei, et al.
Pubblicazione: (2025)

Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics
di: Ni, Zhangkai, et al.
Pubblicazione: (2024)

RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation
di: Chen, Zhang, et al.
Pubblicazione: (2025)

ARIQA-3DS: A Stereoscopic Image Quality Assessment Dataset for Realistic Augmented Reality
di: Sekhri, Aymen, et al.
Pubblicazione: (2026)

Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement
di: Xiao, Kang, et al.
Pubblicazione: (2024)

FineVQ: Fine-Grained User Generated Content Video Quality Assessment
di: Duan, Huiyu, et al.
Pubblicazione: (2024)

Scalable Event-Based Video Streaming for Machines with MoQ
di: Freeman, Andrew C.
Pubblicazione: (2025)

ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing
di: Naderi, Babak, et al.
Pubblicazione: (2025)

YouTube SFV+HDR Quality Dataset
di: Wang, Yilin, et al.
Pubblicazione: (2024)

Perceptual Quality Optimization of Image Super-Resolution
di: Zhou, Wei, et al.
Pubblicazione: (2026)

Enhancing Learned Image Compression via Cross Window-based Attention
di: Mudgal, Priyanka, et al.
Pubblicazione: (2024)

Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff
di: Pang, Yingxue, et al.
Pubblicazione: (2025)

ML-CLIPSim: Multi-Layer CLIP Similarity for Machine-Oriented Image Quality
di: Ding, Feng, et al.
Pubblicazione: (2026)

Object-Attribute-Relation Representation Based Video Semantic Communication
di: Du, Qiyuan, et al.
Pubblicazione: (2024)