Video Quality Assessment On Live Vqc

评估指标

PLCC

评测结果

各个模型在此基准测试上的表现结果

模型名称	PLCC	Paper Title	Repository
RAPIQUE	0.7863	RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content	-
HVS-5M	0.8422	HVS Revisited: A Comprehensive Video Quality Assessment Framework	-
ReLaX-VQA (finetuned on LIVE-VQC)	0.8876	ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment	-
2BiVQA	0.832	2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos	-
DisCoVQA	0.844	DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment	-
CONVIQT	0.817	CONVIQT: Contrastive Video Quality Estimator	-
FAST-VQA (trained on LSVQ only)	0.844	FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling	-
ChipQA	0.7299	ChipQA: No-Reference Video Quality Prediction via Space-Time Chips	-
DOVER (end-to-end)	0.874	Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives	-
PVQ	0.791	Patch-VQ: 'Patching Up' the Video Quality Problem	-
ReLaX-VQA (trained on LSVQ only)	0.8242	ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment	-
BVQA-2022	0.839	Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception	-
FasterVQA (fine-tuned)	0.858	Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment	-
VIDEVAL	0.7514	UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content	-
FAST-VQA (finetuned on LIVE-VQC)	0.862	FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling	-
VSFA	0.7426	Quality Assessment of In-the-Wild Videos	-
TLVQM	0.8025	Two-Level Approach for No-Reference Consumer Video Quality Assessment
DOVER (head-only)	0.863	Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives	-
ReLaX-VQA	0.8079	ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment	-
CONTRIQUE	0.822	Image Quality Assessment using Contrastive Learning	-

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