Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment

Benchmark Model Rank Results
image-quality-assessment-on-msu-nr-vqaLINEARITY#2SRCC: 0.9104PLCC: 0.9106KLCC: 0.7589
video-quality-assessment-on-msu-sr-qa-datasetLinearity (Norm-in-Norm Loss)#13SROCC: 0.64382PLCC: 0.62204KLCC: 0.52172Type: NR
video-quality-assessment-on-msu-video-qualityLINEARITY#5SRCC: 0.9104PLCC: 0.9106KLCC: 0.7589Type: NR