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Video Quality Assessment On Live Fb Lsvq

Métriques

PLCC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
PLCC
Paper TitleRepository
CONTRIQUE0.826Image Quality Assessment using Contrastive Learning
DisCoVQA0.850DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
CONVIQT0.820CONVIQT: Contrastive Video Quality Estimator
FasterVQA0.874Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
DOVER0.889Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
VIDEVAL0.783UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
HVS-5M0.8723HVS Revisited: A Comprehensive Video Quality Assessment Framework-
OneAlign0.886Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
PVQ0.827Patch-VQ: 'Patching Up' the Video Quality Problem
OneAlign + FAST-VQA0.900Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
SimpleVQA0.861A Deep Learning based No-reference Quality Assessment Model for UGC Videos
BVQA-20220.854Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
FAST-VQA0.877FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
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