SOTAVerified

NR-IQA

To avoid duplication and fragmentation, use the No-Reference Image Quality Assessment (NR-IQA) task.

Papers

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Showing 11–20 of 50 papers

TitleStatusHype
Black-box Adversarial Attacks Against Image Quality Assessment Models—0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach—0
Cross-IQA: Unsupervised Learning for Image Quality Assessment—0
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives—0
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks—0
An Attention-Driven Approach of No-Reference Image Quality Assessment—0
Domain Fingerprints for No-reference Image Quality Assessment—0
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity—0
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method—0
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