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Video Quality Assessment On Live Fb Lsvq

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PLCC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
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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Video Quality Assessment On Live Fb Lsvq | SOTA | HyperAI