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Video Quality Assessment
Video Quality Assessment On Live Vqc
Video Quality Assessment On Live Vqc
Metrics
PLCC
Results
Performance results of various models on this benchmark
Columns
Model Name
PLCC
Paper Title
ReLaX-VQA (finetuned on LIVE-VQC)
0.8876
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
DOVER (end-to-end)
0.874
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
DOVER (head-only)
0.863
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
FAST-VQA (finetuned on LIVE-VQC)
0.862
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
FasterVQA (fine-tuned)
0.858
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
DisCoVQA
0.844
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
FAST-VQA (trained on LSVQ only)
0.844
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
HVS-5M
0.8422
HVS Revisited: A Comprehensive Video Quality Assessment Framework
BVQA-2022
0.839
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
2BiVQA
0.832
2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos
ReLaX-VQA (trained on LSVQ only)
0.8242
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
CONTRIQUE
0.822
Image Quality Assessment using Contrastive Learning
CONVIQT
0.817
CONVIQT: Contrastive Video Quality Estimator
ReLaX-VQA
0.8079
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
TLVQM
0.8025
Two-Level Approach for No-Reference Consumer Video Quality Assessment
PVQ
0.791
Patch-VQ: 'Patching Up' the Video Quality Problem
RAPIQUE
0.7863
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
VIDEVAL
0.7514
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
VSFA
0.7426
Quality Assessment of In-the-Wild Videos
ChipQA
0.7299
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
0 of 20 row(s) selected.
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