DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment | Paper Citation Record

Observation 21087a15-3688-499e-abfa-3cb87b82d07b · outbound

This paper cites Arniqa: Learning Distortion Mani- fold for Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Arniqa: Learning Distortion Mani- fold for Image Quality Assessment

Reference 1

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Observation c1d564a5-2186-43f2-8219-63dcd0fdbd5f · outbound

This paper cites I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

Reference 2

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Observation f2dd5c56-3d4a-4224-9740-aeead68f162c · outbound

This paper cites On the Use of Deep Learning for Blind Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment On the Use of Deep Learning for Blind Image Quality Assessment

Reference 3

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Observation 05c6c4b1-6b86-4d13-9557-a8d9cb448a4c · outbound

This paper cites Deep Neural Net- works for No-Reference and Full-Reference Image Qual- ity Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Deep Neural Net- works for No-Reference and Full-Reference Image Qual- ity Assessment

Reference 4

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Observation c782998c-9f16-4f9b-8655-14712e809a7c · outbound

This paper cites Iglovikov, Eugene Khved- chenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Iglovikov, Eugene Khved- chenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A

Reference 5

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Observation 8b9b2521-b77b-411b-aa4c-2325ded647a6 · outbound

This paper cites TOPIQ: A Top-down Approach from Semantics to Distortions for Im- age Quality Assessment, 2023.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment TOPIQ: A Top-down Approach from Semantics to Distortions for Im- age Quality Assessment, 2023

Reference 6

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Observation e06a52b9-c7cd-421a-a872-c7a91535ba1a · outbound

This paper cites Progressively Complementarity- Aware Fusion Network for RGB-D Salient Object Detection.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Progressively Complementarity- Aware Fusion Network for RGB-D Salient Object Detection

Reference 7

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Observation 155c1e19-122b-4222-a706-6c738e3866e5 · outbound

This paper cites Multi-modal fusion net- work with multi-scale multi-path and cross-modal interac- tions for RGB-D salient object detection.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Multi-modal fusion net- work with multi-scale multi-path and cross-modal interac- tions for RGB-D salient object detection

Reference 8

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Observation 925b527e-c470-40e3-b651-b95319cbab46 · outbound

This paper cites PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

Reference 9

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Observation 973b30f8-d6da-4ed0-a4bf-bd7056b23cc2 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Deep Retinex Decomposition for Low-Light Enhancement

Reference 10

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Observation 3cd809a7-67de-4786-a522-5f72e7e11240 · outbound

This paper cites Flare7K: A Phenomenological Night- time Flare Removal Dataset.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Flare7K: A Phenomenological Night- time Flare Removal Dataset

Reference 11

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Observation c2e56a31-f0b1-43d7-a554-30ea5743d1c5 · outbound

This paper cites Uni- versal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Uni- versal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning

Reference 12

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Observation 53448a1e-5601-4db8-903c-0256aeb2ea38 · outbound

This paper cites Massive On- line Crowdsourced Study of Subjective and Objective Pic- ture Quality.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Massive On- line Crowdsourced Study of Subjective and Objective Pic- ture Quality

Reference 13

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Observation 6ad76ac2-02a1-4ebc-900b-1afe4531f812 · outbound

This paper cites Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

Reference 14

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Observation 2424b316-8bb9-4fdc-bfaa-70c511f9f67c · outbound

This paper cites No-Reference Image Quality Assessment Via Transformers, Relative Ranking, and Self-Consistency.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment No-Reference Image Quality Assessment Via Transformers, Relative Ranking, and Self-Consistency

Reference 15

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Observation c5699d1e-08be-40bf-acec-42923a98653a · outbound

This paper cites ”Magnitude, Precision, and Realism of Depth Perception in Stereoscopic Vision”.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment ”Magnitude, Precision, and Realism of Depth Perception in Stereoscopic Vision”

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:10.490383Z

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Observation 54350e8f-2b4f-4190-a569-6eee38c2f7ca · outbound

This paper cites Image Quality Metrics: PSNR vs.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Image Quality Metrics: PSNR vs

Reference 17

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Observation cbdb3675-0234-4f18-bff5-caa0ff061d71 · outbound

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

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

Reference 18

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Observation 26e34ad7-a9ff-4024-9c63-106d4c6946e7 · outbound

This paper cites Squeeze-and-Excitation Net- works.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Squeeze-and-Excitation Net- works

Reference 19

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Observation d6a1de5b-47e5-4133-96d7-7ccf3c1fee3f · outbound

This paper cites SV AM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment SV AM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots

Reference 20

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Observation ba22aa78-accf-4518-9027-1336de392481 · outbound

This paper cites GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer, 2024.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:09.476285Z

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Observation 04ad1e69-f731-4c85-8be4-877ec19d4ff1 · outbound

This paper cites Tongue Image Quality Assessment Based on a Deep Convolutional Neural Network.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Tongue Image Quality Assessment Based on a Deep Convolutional Neural Network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:09.245442Z

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Observation 2fb66552-258e-4395-9c9d-19936232bf4b · outbound

This paper cites Convo- lutional Neural Networks for No-Reference Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Convo- lutional Neural Networks for No-Reference Image Quality Assessment

Reference 23

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Observation 99f69fc9-420e-4bff-b7bc-8d83891f3012 · outbound

This paper cites Musiq: Multi-Scale Image Quality Transformer.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Musiq: Multi-Scale Image Quality Transformer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:08.940950Z

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Observation 3a6cc64a-83e5-486c-b3c2-cc1cd0eeb11e · outbound

This paper cites Divide and Conquer: Ill-Light Image Enhancement Via Hybrid Deep Network.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Divide and Conquer: Ill-Light Image Enhancement Via Hybrid Deep Network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:08.769454Z

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Observation 0ee5b837-c02e-44a7-aadb-60042cd6f253 · outbound

This paper cites Most Appar- ent Distortion: Full-Reference Image Quality Assessment and The Role of Strategy.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Most Appar- ent Distortion: Full-Reference Image Quality Assessment and The Role of Strategy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:08.566076Z

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Observation 2b4a3fad-54b9-4e4d-b925-dcc38fab5157 · outbound

This paper cites Statistical Eval- uation of No-Reference Image Quality Assessment Metrics For Remote Sensing Images.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Statistical Eval- uation of No-Reference Image Quality Assessment Metrics For Remote Sensing Images

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:08.326247Z

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This paper cites Swinir: Image Restoration Using Swin Transformer.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Swinir: Image Restoration Using Swin Transformer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:08.073721Z

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Observation def4a6a3-c80c-4d4f-a30c-5cdb7cb9fa86 · outbound

This paper cites KADID-10k: A Large-Scale Artificially Distorted IQA Database.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment KADID-10k: A Large-Scale Artificially Distorted IQA Database

Reference 29

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Observation 38dc7047-9788-43c6-85b2-4303678ffb08 · outbound

This paper cites Hallucinated-IQA: No-Reference Image Quality Assessment Via Adversarial Learning.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Hallucinated-IQA: No-Reference Image Quality Assessment Via Adversarial Learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:07.528045Z

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Observation 9cbde8af-d887-4803-b55b-9f24f349906b · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Reference 31

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Observation b21e61da-a2e3-4315-a135-e5e78cb7e99a · outbound

This paper cites End-to-End Blind Im- age Quality Assessment Using Deep Neural Networks.IEEE Transactions on Image Processing, 27(3):1202–1213, 2017.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment End-to-End Blind Im- age Quality Assessment Using Deep Neural Networks.IEEE Transactions on Image Processing, 27(3):1202–1213, 2017

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:06.995801Z

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Observation 46b55924-e566-4f64-a740-6cd98331404e · outbound

This paper cites No-Reference Image Qality Assessment in the Spa- tial Domain.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment No-Reference Image Qality Assessment in the Spa- tial Domain

Reference 33

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Observation 49d8c8c5-688d-459c-b12e-f60aa101ce9e · outbound

This paper cites Blind Im- age Quality Assessment: From Natural Scene Statistics to Perceptual Quality.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Im- age Quality Assessment: From Natural Scene Statistics to Perceptual Quality

Reference 34

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This paper cites Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring

Reference 35

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Observation e4d56401-dceb-4386-a341-2471fc18b1c0 · outbound

This paper cites Image Database TID2013: Peculiarities, Results and Perspectives.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Image Database TID2013: Peculiarities, Results and Perspectives

Reference 36

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Observation 7c434223-5a7c-456f-afa6-02358e8ab431 · outbound

This paper cites PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference

Reference 37

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Observation a9651130-d8fc-4557-9192-a5ab25419d95 · outbound

This paper cites Blind Image Quality Assessment: A Natural Scene Statis- tics Approach in the DCT Domain.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Image Quality Assessment: A Natural Scene Statis- tics Approach in the DCT Domain

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:05.869007Z

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Observation bf270d78-62b7-4066-a917-994a431e84b2 · outbound

This paper cites Re- iqa: Unsupervised Learning for Image Quality Assessment In the Wild.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Re- iqa: Unsupervised Learning for Image Quality Assessment In the Wild

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:05.779625Z

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Observation abf12ed5-bb1f-4ac7-9a67-23d2ee1bc266 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra

Reference 40

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This paper cites A Statistical Evaluation of Recent Full Reference Image Qual- ity Assessment Algorithms.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment A Statistical Evaluation of Recent Full Reference Image Qual- ity Assessment Algorithms

Reference 41

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Observation c7cdfac1-d2e1-418e-b4ba-a31f9e6428c3 · outbound

This paper cites Wood, Thomas San- ford, Ge Wang, and Pingkun Yan.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Wood, Thomas San- ford, Ge Wang, and Pingkun Yan

Reference 42

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This paper cites Blindly Assess Image Qual- ity in the Wild Guided by a Self-Adaptive Hyper Network.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blindly Assess Image Qual- ity in the Wild Guided by a Self-Adaptive Hyper Network

Reference 43

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Observation ab5f88dd-f6ab-4d6f-8dab-4358f91fd693 · outbound

This paper cites NIMA: Neural Im- age Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment NIMA: Neural Im- age Assessment

Reference 44

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Observation d873a384-3fb7-4341-8950-668d2da34679 · outbound

This paper cites Visualizing Data Using t-SNE.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Visualizing Data Using t-SNE

Reference 45

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Observation 49d25bd5-8350-4194-84c4-0cdcd9b682e3 · outbound

This paper cites Gomez, Łukasz Kaiser, and Il- lia Polosukhin.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Gomez, Łukasz Kaiser, and Il- lia Polosukhin

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.790768Z

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Observation 64bd906a-879f-4cd4-8d70-87243a6aae46 · outbound

This paper cites Ex- ploring Clip for Assessing the Look and Feel of Images.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Ex- ploring Clip for Assessing the Look and Feel of Images

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.661050Z

Source-reported events for the cited work

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Observation 1e85dda9-12ae-41c4-bb82-fa0fd2bee97c · outbound

This paper cites A survey on IQA.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment A survey on IQA

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:58.487774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8adcdd92-c8b7-457b-b46a-e69546a158d2 · outbound

This paper cites Real-esrgan: Training Real-world Blind Super-resolution With Pure Synthetic Data.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Real-esrgan: Training Real-world Blind Super-resolution With Pure Synthetic Data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.528644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c8ec569-3e13-49cf-a5d7-2c2a23040cca · outbound

This paper cites Modern Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Modern Image Quality Assessment

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.417943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03a1052f-6b5f-4ba5-8f79-c922d9d379b4 · outbound

This paper cites Why Is Im- age Quality Assessment So Difficult? In IEEE International conference on acoustics, speech, and signal processing, vol- ume 4, pages IV–3313.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Why Is Im- age Quality Assessment So Difficult? In IEEE International conference on acoustics, speech, and signal processing, vol- ume 4, pages IV–3313

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.307078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 821064fe-135c-45ff-b478-07b8449f5157 · outbound

This paper cites Image Quality Assessment: From Error Visi- bility to Structural Similarity.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Image Quality Assessment: From Error Visi- bility to Structural Similarity

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.193636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92ff1f75-6ec9-45cd-b55a-e7a43df84136 · outbound

This paper cites A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:58.912622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc3a02a-27c4-4de6-ad0c-222837eec72f · outbound

This paper cites Do- main Fingerprints for No-Reference Image Quality Assess- ment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Do- main Fingerprints for No-Reference Image Quality Assess- ment

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:04.092326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb2b0c12-8d79-438d-af8c-3f49066e1665 · outbound

This paper cites Blind Image Quality Assessment Based on High Order Statistics Aggregation.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Image Quality Assessment Based on High Order Statistics Aggregation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.985802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 72c4c3c0-faed-4287-896c-efd8baf4b31c · outbound

This paper cites Boosting Image Quality Assessment through Efficient Transformer Adapta- tion with Local Feature Enhancement.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Boosting Image Quality Assessment through Efficient Transformer Adapta- tion with Local Feature Enhancement

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.875738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b825964-ead1-4bce-b37b-f4275f3e4f6b · outbound

This paper cites Align-IQA: Aligning Im- age Quality Assessment Models with Diverse Human Pref- erences via Customizable Guidance.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Align-IQA: Aligning Im- age Quality Assessment Models with Diverse Human Pref- erences via Customizable Guidance

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.761009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ed51316-e42f-4049-9282-d1e14fe86bed · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.576103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83c13477-162c-498f-be26-b8db8f0c6452 · outbound

This paper cites Maniqa: Multi-Dimension Attention Network for No- Reference Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Maniqa: Multi-Dimension Attention Network for No- Reference Image Quality Assessment

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.424397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5c41341-fc20-4d2e-bbe3-305f7a6deaf1 · outbound

This paper cites No-Reference Image Quality Assessment Using Visual Codebooks.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment No-Reference Image Quality Assessment Using Visual Codebooks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.232209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9868ee1c-de29-4ca9-994f-356c0f680bed · outbound

This paper cites Un- supervised Feature Learning Framework for No-Reference Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Un- supervised Feature Learning Framework for No-Reference Image Quality Assessment

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:03.045468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 924a6870-d022-4f30-b427-7b8b20c576eb · outbound

This paper cites From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Pic- ture Quality.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Pic- ture Quality

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:02.890959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a09215ce-c518-493d-986d-e88e65be39d5 · outbound

This paper cites Transformer for Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Transformer for Image Quality Assessment

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:02.706084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1068c2ee-62df-4ad5-bd5c-f69d8f8fbeba · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Multi-Scale Context Aggregation by Dilated Convolutions

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:59.906195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e17796c-7ecd-48a7-a396-0056d73183cb · outbound

This paper cites Perceptual Image Qual- ity Assessment: A Survey.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Perceptual Image Qual- ity Assessment: A Survey

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:02.522172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ead79360-3e57-4da3-b9ff-27f01f5a4772 · outbound

This paper cites A Feature- Enriched Completely Blind Image Quality Evaluator.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment A Feature- Enriched Completely Blind Image Quality Evaluator

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:02.309032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8fec910f-ffff-418e-82e6-fff45a57db88 · outbound

This paper cites FSIM: A Feature Similarity Index for Image Quality Assess- ment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment FSIM: A Feature Similarity Index for Image Quality Assess- ment

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:02.129612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d2d4fd8-8484-4904-a4da-e7585d60ce2b · outbound

This paper cites Feature Calibrating and Fusing Network for RGB-D Salient Object Detection.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Feature Calibrating and Fusing Network for RGB-D Salient Object Detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.993808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87000e0b-0bad-425a-a214-a10ce3a24e95 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.839449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2b0e173-8278-4eb8-ae73-75f8cdbf6502 · outbound

This paper cites Blind Image Quality Assessment Using a Deep Bi- linear Convolutional Neural Network.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Image Quality Assessment Using a Deep Bi- linear Convolutional Neural Network

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.708706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27736f1d-4683-48b6-8623-829bc855b0b6 · outbound

This paper cites Blind Image Quality Assessment Via Vision- Language Correspondence: A Multitask Learning Perspec- tive.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Image Quality Assessment Via Vision- Language Correspondence: A Multitask Learning Perspec- tive

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.547372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a230db18-3ea2-4e94-843b-d91421cefecb · outbound

This paper cites Blind Image Quality Assessment via Vision- Language Correspondence: A Multitask Learning Perspec- tive.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment Blind Image Quality Assessment via Vision- Language Correspondence: A Multitask Learning Perspec- tive

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.415820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6f29f78-cd0e-4270-97e8-69449a888fcb · outbound

This paper cites CMPFFNet: Cross-Modal and Progressive Feature Fusion Network for RGB-D Indoor Scene Semantic Segmentation.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment CMPFFNet: Cross-Modal and Progressive Feature Fusion Network for RGB-D Indoor Scene Semantic Segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.266020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dce47da-fbd9-4aee-ba5c-c1df94c26dad · outbound

This paper cites MetaIQA: Deep Meta-Learning for No- Reference Image Quality Assessment.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment MetaIQA: Deep Meta-Learning for No- Reference Image Quality Assessment

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:01.123113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0ba59c3-7059-4648-8283-12e11a6e3906 · outbound

This paper cites horseshoe.

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment horseshoe

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:42:00.994942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers