From Global to Granular: Revealing IQA Model Performance via Correlation Surface | Paper Citation Record

Observation e1367e80-d973-48e6-912f-78221af50552 · outbound

This paper cites Modern image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Modern image quality assessment,

Reference 1

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Observation b5ffc76c-86c0-48e5-83bd-5c8576519c3d · outbound

This paper cites Perceptual image quality assessment: a survey,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Perceptual image quality assessment: a survey,

Reference 2

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Observation f36e0f82-38a6-4903-aeac-9bf73019b47b · outbound

This paper cites Comparison of full-reference image quality models for optimization of image processing systems,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Comparison of full-reference image quality models for optimization of image processing systems,

Reference 3

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Observation 72a39bcd-6814-48bb-a143-713efd7d0b89 · outbound

This paper cites The effects of a visual fidelity criterion of the encoding of images,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface The effects of a visual fidelity criterion of the encoding of images,

Reference 4

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Observation 92dd97ef-3015-4575-bcbf-9f6bc80e8fe1 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Image quality assessment: Unifying structure and texture similarity,

Reference 5

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Observation 5e930510-2553-4961-bbb9-a1f138b1f012 · outbound

This paper cites Mean squared error: Love it or leave it? A new look at signal fidelity measures,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Mean squared error: Love it or leave it? A new look at signal fidelity measures,

Reference 6

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Observation 4be13bfc-ed06-41bc-83d2-61246e7df948 · outbound

This paper cites What’s wrong with mean-squared error?.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface What’s wrong with mean-squared error?

Reference 7

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Observation 29de7327-f57a-4157-8ddb-4dcb9968c82f · outbound

This paper cites Blind image quality assessment using a deep bilinear convolutional neural network,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Blind image quality assessment using a deep bilinear convolutional neural network,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.409582Z

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Observation 6590c275-9e28-4ab3-9dc2-4ea0c71e5f7b · outbound

This paper cites Deep CNN-based blind im- age quality predictor,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Deep CNN-based blind im- age quality predictor,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.412690Z

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Observation 3b6df069-47dd-40a0-8fb8-5bf5924357bc · outbound

This paper cites Deep neural networks for no-reference and full-reference image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Deep neural networks for no-reference and full-reference image quality assessment,

Reference 10

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Observation 8dae0e46-bf95-4fc5-a609-90e65ce0346d · outbound

This paper cites TOPIQ: A top-down approach from semantics to distortions for image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface TOPIQ: A top-down approach from semantics to distortions for image quality assessment,

Reference 11

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Observation 0b07abb1-2a49-4b2f-8c41-10b1d57b550e · outbound

This paper cites Transformer for image quality assess- ment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Transformer for image quality assess- ment,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.422187Z

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Observation a3b584a9-fd85-48d0-852b-d0d7adfb88d7 · outbound

This paper cites Perceptual image quality assessment with transformers,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Perceptual image quality assessment with transformers,

Reference 13

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Observation 942141ad-972c-46ed-ab23-79a2bc72cf65 · outbound

This paper cites MUSIQ: Multi-scale image quality transformer,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface MUSIQ: Multi-scale image quality transformer,

Reference 14

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Observation 9dd70096-ef3d-4e7f-816b-70b793ba7e64 · outbound

This paper cites Blind image qual- ity assessment via vision-language correspondence: A multitask learning perspective,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Blind image qual- ity assessment via vision-language correspondence: A multitask learning perspective,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.431707Z

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Observation 43063160-9fdb-4cc0-b45a-844614c1507f · outbound

This paper cites Boosting image quality assessment through efficient transformer adaptation with local feature enhancement,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Boosting image quality assessment through efficient transformer adaptation with local feature enhancement,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.434991Z

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Observation f6035129-5b72-47d6-b408-29ec2b6c6985 · outbound

This paper cites Q-Bench: A benchmark for general- purpose foundation models on low-level vision,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Q-Bench: A benchmark for general- purpose foundation models on low-level vision,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.438052Z

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Observation 261f3dc3-7c5c-409d-af76-77da692f8a9a · outbound

This paper cites VisualQuality-R1: Reasoning-induced image quality assessment via reinforcement learning to rank,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface VisualQuality-R1: Reasoning-induced image quality assessment via reinforcement learning to rank,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.441122Z

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Observation ba93661f-64d0-4245-8460-4e15db6eb76b · outbound

This paper cites Fine-grained image quality assessment: A revisit and further thinking,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Fine-grained image quality assessment: A revisit and further thinking,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.444245Z

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Observation 1c3262b9-b971-4d1f-bce3-eb1dd34a97cf · outbound

This paper cites Perceptual quality assessment of smartphone photography,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Perceptual quality assessment of smartphone photography,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.447740Z

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Observation a83f09e5-0baa-4cd9-b890-aa51a606374d · outbound

This paper cites Exploring CLIP for assessing the look and feel of images,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Exploring CLIP for assessing the look and feel of images,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.450917Z

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Observation 7ed905ae-453e-43e8-9465-ae9d4277593e · outbound

This paper cites Making a “com- pletely blind.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Making a “com- pletely blind

Reference 22

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Observation 631a7304-eaab-493a-a91b-e755a08d4945 · outbound

This paper cites J. rank correlation methods,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface J. rank correlation methods,

Reference 23

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Observation 2a2316ce-b946-4ba0-80a9-b02291df2d26 · outbound

This paper cites Blind image quality assessment by gaussian mixture distribution,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Blind image quality assessment by gaussian mixture distribution,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.462940Z

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Observation 0e5f7b57-f376-45da-bd30-52dee8089c85 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Image quality assessment: from error visibility to structural similarity,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.474870Z

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Observation e021d2be-d297-4df1-8ccf-f7540e459713 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Multiscale structural similarity for image quality assessment,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.487569Z

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Observation b1176202-175b-4019-9c59-fd81d0b70de5 · outbound

This paper cites Information content weighting for perceptual image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Information content weighting for perceptual image quality assessment,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.496409Z

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Observation 25ce95b5-51dd-4c27-8ee1-39ecb582f11b · outbound

This paper cites Image information and visual quality,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Image information and visual quality,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.513446Z

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Observation 17fff5f7-36e2-478f-9a7c-0a3c251dc1cb · outbound

This paper cites FSIM: A feature similarity index for image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface FSIM: A feature similarity index for image quality assessment,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.527596Z

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Observation 51dac72c-8c0c-4710-971e-1bb45c44a90c · outbound

This paper cites Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.542077Z

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Observation 368c5d2f-f187-4691-9007-5fc78a6b48c6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual met- ric,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface The unreasonable effectiveness of deep features as a perceptual met- ric,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.559124Z

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Observation 61911943-98f4-4bb9-939a-c7ac7495ecea · outbound

This paper cites Deep- WSD: Projecting degradations in perceptual space to wasserstein distance in deep feature space,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Deep- WSD: Projecting degradations in perceptual space to wasserstein distance in deep feature space,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.576216Z

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Observation 23200b2b-cd2e-40c2-a13b-1cf394d881bc · outbound

This paper cites DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.595283Z

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Observation 39fddd0f-0401-4826-b0bb-040fb70baa5e · outbound

This paper cites Debi- ased mapping for full-reference image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Debi- ased mapping for full-reference image quality assessment,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.614819Z

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Observation 9d259fcb-9c85-4a85-855d-6178f984d330 · outbound

This paper cites A two-step framework for constructing blind image quality indices,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface A two-step framework for constructing blind image quality indices,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.621942Z

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Observation f4848fca-15e7-46bc-9edf-16673ace93d1 · outbound

This paper cites Blind image quality assessment: A natural scene statistics approach in the dct domain,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Blind image quality assessment: A natural scene statistics approach in the dct domain,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.625282Z

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Observation 17e58955-eb3c-4d54-8c15-059b652abf01 · outbound

This paper cites A psychovisual quality metric in free-energy principle,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface A psychovisual quality metric in free-energy principle,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.628307Z

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Observation 04d71f3c-acb2-4e81-b9c7-1e1318933c17 · outbound

This paper cites No-reference image quality assessment metric by combining free energy theory and structural degradation model,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface No-reference image quality assessment metric by combining free energy theory and structural degradation model,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.631534Z

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Observation 5dc6ba49-635d-4486-9064-d920dad90c66 · outbound

This paper cites No- reference image quality assessment by hallucinating pristine fea- tures,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface No- reference image quality assessment by hallucinating pristine fea- tures,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.634563Z

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Observation 8768e86c-2d89-432a-b4b3-98f029cfc988 · outbound

This paper cites Convolutional neural networks for no-reference image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Convolutional neural networks for no-reference image quality assessment,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.637501Z

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Observation c8254025-c2cc-47d0-8719-5229d4eec1c7 · outbound

This paper cites Blindly assess image quality in the wild guided by a self-adaptive hyper network,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Blindly assess image quality in the wild guided by a self-adaptive hyper network,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.640621Z

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Observation 392c1250-9903-472f-89e8-01da4a51c6d5 · outbound

This paper cites MetaIQA: Deep meta- learning for no-reference image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface MetaIQA: Deep meta- learning for no-reference image quality assessment,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.643629Z

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Observation 7474fe68-1f8d-4768-8be9-3175e8e2c693 · outbound

This paper cites Task-specific normaliza- tion for continual learning of blind image quality models,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Task-specific normaliza- tion for continual learning of blind image quality models,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.646889Z

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Observation f53a375d-024c-49d9-b704-2cd8cb859aa0 · outbound

This paper cites Learning generalized spatial-temporal deep feature representation for no- reference video quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Learning generalized spatial-temporal deep feature representation for no- reference video quality assessment,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.650374Z

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Observation 881c3935-9fc7-4647-be33-9c9bdbfe72fa · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.653958Z

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Observation feaab381-667a-4dc9-ba9d-35d9a47d4fad · outbound

This paper cites Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.657911Z

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Observation 5571adf5-66be-4eb7-a160-dd7051ec0159 · outbound

This paper cites Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.661562Z

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Observation 78ad6499-74b4-4a4f-ae06-28c46dbe4184 · outbound

This paper cites Mitigating perception bias: A training-free approach to enhance lmm for image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Mitigating perception bias: A training-free approach to enhance lmm for image quality assessment,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.665040Z

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Observation e8b8e533-cd2d-4351-b734-cb7954669caa · outbound

This paper cites A perceptually weighted rank correlation indicator for objective image quality assessment,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface A perceptually weighted rank correlation indicator for objective image quality assessment,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.668505Z

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Observation 040ff2ef-31ef-4506-9bbe-8ed18e186e7d · outbound

This paper cites Maximum differentiation (mad) competition: A methodology for comparing computational mod- els of perceptual quantities,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Maximum differentiation (mad) competition: A methodology for comparing computational mod- els of perceptual quantities,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.671991Z

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Observation 4650a786-9845-40f3-86d9-2c8e255a5e4c · outbound

This paper cites Group maximum differentiation competition: Model comparison with few samples,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Group maximum differentiation competition: Model comparison with few samples,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.675136Z

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Observation f7e6ed2d-400f-4ae2-9bd2-b6194e49687d · outbound

This paper cites Waterloo exploration database: New challenges for image quality assessment models,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Waterloo exploration database: New challenges for image quality assessment models,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.678709Z

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Observation 49ed10bc-f86d-48db-ba04-c16f7f71217c · outbound

This paper cites Eigen- distortions of hierarchical representations,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Eigen- distortions of hierarchical representations,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.681756Z

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Observation 7f18af54-df65-426d-b394-09327b407a49 · outbound

This paper cites Beta regression for modelling rates and proportions,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Beta regression for modelling rates and proportions,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.684830Z

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Observation 376eaf93-3767-4616-bb2b-79a6a42969e3 · outbound

This paper cites Uncertainty-aware blind image quality assessment in the laboratory and wild,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Uncertainty-aware blind image quality assessment in the laboratory and wild,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.687691Z

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Observation e47680f8-5ea8-4b26-8a62-0168b3c45938 · outbound

This paper cites Descriptive image quality assessment in the wild,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Descriptive image quality assessment in the wild,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.690720Z

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Observation 0e58e66c-718a-4b01-a842-c58657ed8845 · outbound

This paper cites Delving into deep imbalanced regression,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Delving into deep imbalanced regression,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.693982Z

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Observation e2798e2c-e03d-40d4-8332-6ecf2c9115bb · outbound

This paper cites KADID-10k: A large-scale ar- tificially distorted IQA database,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface KADID-10k: A large-scale ar- tificially distorted IQA database,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.697502Z

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Observation 07503a28-0b40-4e38-a7ba-fa71599bb397 · outbound

This paper cites PIPAL: a large-scale image quality assessment dataset for perceptual image restoration,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface PIPAL: a large-scale image quality assessment dataset for perceptual image restoration,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.700312Z

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Observation f000c7db-d82e-4372-9d0d-da0d900e9d98 · outbound

This paper cites Making a “com- pletely blind.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Making a “com- pletely blind

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.703416Z

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Observation e9bff4d1-7dc4-4e7e-9a1c-2916bbdbc90d · outbound

This paper cites Exploring CLIP for assessing the look and feel of images,.

From Global to Granular: Revealing IQA Model Performance via Correlation Surface Exploring CLIP for assessing the look and feel of images,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:30.706549Z

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface MANIQA: Multi-dimension attention network for no- reference image quality assessment,

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface KonIQ-10k: An eco- logically valid database for deep learning of blind image quality assessment,

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface Massive online crowdsourced study of subjective and objective picture quality,

Reference 65

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface Perceptual quality assessment of smartphone photography,

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From Global to Granular: Revealing IQA Model Performance via Correlation Surface Unresolved cited work

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