KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

Cited by (826)

Items 601–700 of 826

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4. Multi-dataset learning with channel modulation loss for blind image quality assessment
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5. No reference image quality assessment using gabor convolutional neural networks
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6. SR4KVQA: Video quality assessment database and metric for 4K super-resolution
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7. SAM and Diffusion Based Adversarial Sample Generation for Image Quality Assessment
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8. A Review on Experimental Evaluation Methods for NR-IQA Algorithm
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9. An efficient no‐reference image quality analysis based on statistical perceptual features
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10. Underwater image quality evaluation via deep meta-learning: Dataset and objective method
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11. Review of Classifiers Used for Identification and Classification of Plant Leaf Diseases
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12. Pixel Privacy: Quality Camouflage for Social Images.
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13. Reproducibility Companion Paper
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14. Reproducibility Companion Paper
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15. Automatic Noise Analysis on Still Life Chart
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16. Blind image quality assessment based on transformer
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17. Blind image quality assessment for anchor-assisted adaptation to practical situations
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18. FQA-Net: an efficient neural network for blind image quality assessment
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19. Deep video quality assessment using constrained multi-task regression and Spatio-temporal feature fusion
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20. Blind visual quality assessment for super-resolution images: database and model
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21. Efficient Context and Saliency Aware Transformer Network for No-Reference Image Quality Assessment
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22. Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions
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23. A Novel Multi-attention Fusion Convolution Neural Network for Blind Image Quality Assessment
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24. 2020 Index IEEE Transactions on Image Processing Vol. 29
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25. Empirical evaluation of full-reference image quality metrics on MDID database
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26. Analysis of No-Reference IQA Metrics and Their Verification for Image Databases
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27. Adaptive fusion of bright-field microscopy images acquired in different focal planes
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28. From Technical to Aesthetics Quality Assessment and Beyond
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29. Measuring Image Blooming using Blurriness Metrics
    Mahdi Cherakhloo, Hatef Otroshi Shahreza, Mohammad Reza Khalifeh Soltanian, Sina Ranjkeshzadeh, Hamid Azadegan, Alireza Shirkhodaee, Arash Amini, Hamid Behroozi · 2020 · International Symposium on Telecommunications
30. Visual saliency computation and quality evaluation via deep learning
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31. Screen content image quality assessment and processing
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32. Subjective Opinions Matter: Controllable Image Quality Assessment Using Pseudo Reference Images
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33. HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement.
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34. Fooling Blind Image Quality Assessment by Optimizing a Human-Understandable Color Filter.
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35. Simulating Visual Mechanisms by Sequential Spatial-Channel Attention for Image Quality Assessment
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36. Spatial Moment Pooling Improves Neural Image Assessment
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37. On Attacking Deep Image Quality Evaluator Via Spatial Transform
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38. Identificação e Classificação de Imagens Publicitárias Quanto à Qualidade Utilizando Aprendizado de Máquina
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39. Self-Supervised Effective Resolution Estimation with Adversarial Augmentations
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40. 基于半监督学习的无参考图像质量评价算法
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41. Improved Sensitivity of No-Reference Image Visual Quality Metrics to the Presence of Noise
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42. Apples and Oranges? Assessing Image Quality over Content Recognition
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43. A Ranking-Based Self-Supervised Learning Training Method for No-Reference Image Quality Assessment
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44. Linear Blur Direction Estimation Using a Convolutional Neural Network
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45. Optimizing DNN based quality assessment metric for image compression: A novel rate control method
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46. Face Quality Detection in a Video Frame
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47. Review of Quality Assessment Algorithms on the Realistic Blurred Image Database (BID2011)
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48. A Ranking-Based Self-Supervised Learning Training Method for No-Reference Image Quality Assessment
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49. A Model-Agnostic Semantic-Quality Compatible Framework based on Self-Supervised Semantic Decoupling
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50. Enhancing Image Quality of Aging Smartphones Using Multi-scale Selective Kernel Feature Fusion Network
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51. Blind Image Quality Index with High-Level Semantic Guidance and Low-Level Fine-Grained Representation
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52. A Brain Tumor Image Quality Assessment Algorithm Based on Vggnet and Attention Mechanism
    Fanfan Shen, Haipeng Liu, Jun Zhang, Chao Xu, Yong Chen, Yanxiang He · 2023 · SSRN Electronic Journal
53. Fscope-IQA: A Novel Attention Design for Image Quality Assessment
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54. MTQ-Caps: A Multi-task Capsule Network for Blind Image Quality Assessment
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55. Enhancing Real-World Image Deblurring: Algorithm Selection and Performance Evaluation for CCTV
    Venu Dattathreya Vemuru, Nalluru Mourya Sai Eatesh, Varshith Yadavalli, Nellore Dhanush, C M Varun, S.V Suguna Sekhar · 2023 · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
56. Blind Image Quality Assessment Method Based on DeepSA-Net
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57. Blind Image Quality Index with High-Level Semantic Guidance and Low-Level Fine-Grained Representation
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58. An Effective Meta-Learning Network Model for No-Reference Image Quality Assessment
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59. The Inter-Relationship Between Photographic Aesthetics and Technical Quality
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60. McmIQA: Multi-Module Collaborative Model for No-Reference Image Quality Assessment
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61. Self-Supervised Image Quality Assessment through Active Learning
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62. Bilinear Pooling of Transformer Embeddings for Blind Image Quality Assessment
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63. No-reference image sharpness assessment via elastic net based mid-level feature selection
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64. Application of k-nearest neighbors method for detection of beef authenticity based on beef image
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65. Accuracy and generalization improvement for image quality assessment of authentic distortion by semi-supervised learning
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66. A Benchmark of Variance of Opinion Scores in Image Quality Assessment
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67. A Metric for Evaluating Image Quality Difference Perception Ability in Blind Image Quality Assessment Models
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68. Iterative transfer learning with large unlabeled datasets for no-reference image quality assessment
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69. Semantic-Aware and Quality-Aware Interaction Network for Blind Video Quality Assessment
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70. Blind image quality assessment using Beltrami filter-based contrast features (BF-bCF) & LSTM network
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71. Image Enhancement Based on a Diffusion Model Guided by No-Reference Image Quality Assessment
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72. A survey of learning-based no-reference image quality assessment
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73. Towards Adversarial Robustness in Blind Image Quality Assessment with Soft Thresholding Norm
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74. KonIQ-10k-LT: Overcoming Score Priors in Blind Image Quality Assessment Under Imbalanced Distributions
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75. Distortion Measurement Metric for Human Image Refinement and Evaluation Using Distorted Image Datasets
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76. SFM-IQA: A Hierarchical Model for Image Quality Assessment via Optimization-Based Meta Learning
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77. How Much Distortion We See in the Cyberspace: Geometric Assessment of Smartphone Photography
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78. Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
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79. Arthropodia-V1: Biodiversity Dataset for Semantic Segmentation, Quality Estimation, and Observation Extraction
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80. Meta-learning enhanced global–local feature fusion for image quality assessment
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81. Vocal Course Quality Evaluation Model Using Hybrid Neural Networks and Meta-Learning Optimization
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82. Learning from Strong to Weak An Enhanced Quality Comparison Network via Efficient Transfer Learning
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83. SR-VQA: Super-Resolution Video Quality Assessment Model
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84. PPD-IQA: A Bottom-Up and Top-Down Combined Approach for Blind Image Quality Assessment via Prototype-Prompted Disentangling
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85. WVIQA: Multi-scale Attention Hybrid Networks for No-Reference Wood Veneer Image Quality Assessment
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86. The visibility of Eidolon distortions in things and stuff
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87. MFCI-Net: Image Aesthetic Assessment Integrating Multilevel Deep Features and Composition Cognition
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88. Blind Image Quality Assessment in JPEG Compressed Domain
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89. Semi-supervised Learning for Image Quality Assessment Problem
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90. Image Aesthetic Quality Assessment Method Based on Multi-scale Fusion Spiking Neural Network Vision Transformer
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91. Unified Blind Image Quality Assessment for 360° Images: High-Resolution Perspective
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92. A Method for Visualizing Prediction Basis in Image Regression Deep Learning Models
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93. MMP-2k: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database
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94. Boosting Diffusion U-Net with Free Lunch for Text-to-Image and Text-to-Video Generation
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95. STAPLE: Siamese Transformer Assisted Pseudo Label Ensembling for Unsupervised Domain Adaptation in No-Reference IQA
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96. CQAD: An Image Quality Assessment Dataset for CCTV
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97. No-Reference Image Quality Assessment Method Based on High-Level Semantic Features
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98. Spatio-temporal attention feature fusion: A video quality assessment method for User-Generated Content
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99. Quality Assessment of Solar EUV Remote Sensing Images Using Multi-Feature Fusion
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100. Adaptive Prompt Learning for Blind Image Quality Assessment with Multi-modal Mixed-datasets Training
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