Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Benchmark Model Rank Results
video-quality-assessment-on-konvid-1kDOVER (end-to-end)#1PLCC: 0.905
video-quality-assessment-on-konvid-1kDOVER (head-only)#3PLCC: 0.894
video-quality-assessment-on-live-fb-lsvqDOVER#2PLCC: 0.889
video-quality-assessment-on-live-vqcDOVER (end-to-end)#2PLCC: 0.874
video-quality-assessment-on-live-vqcDOVER (head-only)#3PLCC: 0.863
video-quality-assessment-on-msu-video-qualityDOVER#8SRCC: 0.8871PLCC: 0.9099KLCC: 0.7216Type: NR
video-quality-assessment-on-youtube-ugcDOVER (end-to-end)#1PLCC: 0.874
video-quality-assessment-on-youtube-ugcDOVER (head-only)#3PLCC: 0.862