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Video Quality Assessment On Live Fb Lsvq

Metrics

PLCC

Results

Performance results of various models on this benchmark

Paper Title
OneAlign + FAST-VQA0.900Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
DOVER0.889Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
OneAlign0.886Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
FAST-VQA0.877FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
FasterVQA0.874Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
HVS-5M0.8723HVS Revisited: A Comprehensive Video Quality Assessment Framework
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
DisCoVQA0.850DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
PVQ0.827Patch-VQ: 'Patching Up' the Video Quality Problem
CONTRIQUE0.826Image Quality Assessment using Contrastive Learning
CONVIQT0.820CONVIQT: Contrastive Video Quality Estimator
VIDEVAL0.783UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
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Video Quality Assessment On Live Fb Lsvq | SOTA | HyperAI