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Image Quality Assessment

Papers

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Showing 401–425 of 732 papers

TitleStatusHype
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps—0
Perceptual Quality Assessment for Fine-Grained Compressed Images—0
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANsCode0
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality AssessmentCode0
Full-Reference Calibration-Free Image Quality Assessment—0
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion—0
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation—0
SwinIQA: Learned Swin Distance for Compressed Image Quality AssessmentCode1
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion—0
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning—0
SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution—0
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading—0
A Deep Learning based No-reference Quality Assessment Model for UGC VideosCode1
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
Assessing the ability of generative adversarial networks to learn canonical medical image statistics—0
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkCode2
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
Multi-Scale Features and Parallel Transformers Based Image Quality AssessmentCode0
UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment MetricsCode0
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment—0
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality AssessmentCode2
Confusing Image Quality Assessment: Towards Better Augmented Reality ExperienceCode0
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
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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