SOTAVerified

NR-IQA

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

Papers

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Showing 21–30 of 50 papers

TitleStatusHype
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
Local Manifold Learning for No-Reference Image Quality Assessment—0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment—0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos—0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Perceptual Image Restoration with High-Quality Priori and Degradation Learning—0
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