No Reference Image Quality Assessment On Csiq

Métriques

PLCC

SRCC

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
ARNIQA	0.973	0.962	ARNIQA: Learning Distortion Manifold for Image Quality Assessment
UNIQA	0.970	0.964	You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment
Re-IQA	0.960	0.947	Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
DB-CNN	0.959	0.946	Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
CONTRIQUE	0.955	0.942	Image Quality Assessment using Contrastive Learning
TReS	0.942	0.922	No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
HyperIQA	0.942	0.923	Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
BRISQUE	0.829	0.746	No-Reference Image Quality Assessment in the Spatial Domain

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No Reference Image Quality Assessment On Csiq | SOTA | HyperAI