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Image Quality Assessment

Papers

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Showing 376–400 of 732 papers

TitleStatusHype
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene StatisticsCode0
Relaxed forced choice improves performance of visual quality assessment methods—0
MCLFIQ: Mobile Contactless Fingerprint Image Quality—0
GMValuator: Similarity-based Data Valuation for Generative Models—0
A comparative study between paired and unpaired Image Quality Assessment in Low-Dose CT DenoisingCode0
Test your samples jointly: Pseudo-reference for image quality evaluation—0
MULLER: Multilayer Laplacian Resizer for VisionCode0
Patch-wise Features for Blur Image Classification—0
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images—0
Explainable Image Quality Assessment for Medical ImagingCode0
Considerations on the Evaluation of Biometric Quality Assessment AlgorithmsCode0
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Lightweight High-Performance Blind Image Quality Assessment—0
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field SpaceCode0
Blind Multimodal Quality Assessment of Low-light Images—0
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics ImagesCode0
The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences—0
Quality-aware Pre-trained Models for Blind Image Quality Assessment—0
Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality AssessmentCode0
Mask Reference Image Quality Assessment—0
Effect of Lossy Compression Algorithms on Face Image Quality and Recognition—0
Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics—0
Advanced Image Quality Assessment for Hand- and Fingervein Biometrics—0
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment—0
Stochastic Surprisal: An inferential measurement of Free Energy in Neural NetworksCode0
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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