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Image Quality Assessment

Papers

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Showing 576–600 of 732 papers

TitleStatusHype
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation—0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment—0
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks—0
Disentangling Image Distortions in Deep Feature Space—0
Deep No-reference Tone Mapped Image Quality Assessment—0
Learning Numerical Observers using Unsupervised Domain Adaptation—0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
Subjective Annotation for a Frame Interpolation Benchmark using Artefact Amplification—0
Image Seam-Carving by Controlling Positional Distribution of Seams—0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityCode0
Subjective Quality Assessment of Ground-based Camera Images—0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning—0
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges—0
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia—0
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches—0
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessmentCode0
Controllable List-wise Ranking for Universal No-reference Image Quality AssessmentCode0
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing—0
Quality Aware Generative Adversarial NetworksCode0
Domain Fingerprints for No-reference Image Quality Assessment—0
Correlation Maximized Structural Similarity Loss for Semantic Segmentation—0
Image Quality Assessment for Rigid Motion Compensation—0
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—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