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Image Quality Assessment

Papers

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Showing 276–300 of 732 papers

TitleStatusHype
Convolutional Neural Network for Blur Images Detection as an Alternative for Laplacian Method—0
Astronomical Images Quality Assessment with Automated Machine Learning—0
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment—0
A statistical reduced-reference method for color image quality assessment—0
Accelerated Real-time Cine and Flow under In-magnet Staged Exercise—0
GreenBIQA: A Lightweight Blind Image Quality Assessment Method—0
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models—0
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning—0
Contrast and visual saliency similarity-induced index for assessing image quality—0
Content-Diverse Comparisons improve IQA—0
GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment—0
Assessing the ability of generative adversarial networks to learn canonical medical image statistics—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment—0
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index—0
Gradient magnitude similarity deviation on multiple scales for color image quality assessment—0
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification—0
Assessing Bias in Face Image Quality Assessment—0
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment—0
Compressed image quality assessment using stacking—0
Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset—0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database—0
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals—0
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents—0
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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