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Image Quality Assessment

Papers

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Showing 226–250 of 732 papers

TitleStatusHype
Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging—0
Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks—0
Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System—0
Deep Image Compression Using Scene Text Quality Assessment—0
BIQ2021: A Large-Scale Blind Image Quality Assessment Database—0
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions—0
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Eye Sclera for Fair Face Image Quality Assessment—0
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs—0
Blind Document Image Quality Prediction Based on Modification of Quality Aware Clustering Method Integrating a Patch Selection Strategy—0
Disentangling Image Distortions in Deep Feature Space—0
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment—0
Deep Face Quality Assessment—0
Blind Image Quality Assessment: A Brief Survey—0
Deep Ensembling for Perceptual Image Quality Assessment—0
Augmenting Perceptual Super-Resolution via Image Quality Predictors—0
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation—0
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models—0
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images—0
Accelerate High-Quality Diffusion Models with Inner Loop Feedback—0
A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment—0
DSSIM: a structural similarity index for floating-point data—0
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild—0
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All datasetsMSU NR VQA DatabaseKonIQ-10kMSU FR VQA Database

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPAQ MT-SSRCC0.88—Unverified
2SPAQ BLSRCC0.88—Unverified
3SPAQ MT-ASRCC0.88—Unverified
4KonCept512SRCC0.84—Unverified
5MEONSRCC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1RealQASRCC0.95—Unverified
2OneAlignSRCC0.94—Unverified
3UNIQASRCC0.93—Unverified
4KonCept512SRCC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FSIMSRCC0.9—Unverified
2DSSSRCC0.9—Unverified
3MS-GMSDSRCC0.89—Unverified
4GMSDSRCC0.89—Unverified