Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment | Paper Citation Record

Observation 24f4b026-b3e0-4a35-8bdb-f98a957bfa0f · outbound

This paper cites Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Reference 1

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Observation 2aa78254-b0fa-4847-8a71-69c056d1a54f · outbound

This paper cites Emulating Self-attention with Convolution for Efficient Image Super-Resolution.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Emulating Self-attention with Convolution for Efficient Image Super-Resolution

Reference 2

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Observation 1ebdccfa-a2c9-47c3-8594-252ceca355b8 · outbound

This paper cites RankSRGAN: Generative Adversarial Networks With Ranker for Image Super- Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment RankSRGAN: Generative Adversarial Networks With Ranker for Image Super- Resolution,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:55.066149Z

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Observation 69b3398b-9b4a-4caf-ba51-c349599116cf · outbound

This paper cites SeD: Semantic-Aware Discriminator for Image Super-Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment SeD: Semantic-Aware Discriminator for Image Super-Resolution,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:55.051756Z

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Observation 3db8ce95-aa1d-4877-82fc-b961066e7c48 · outbound

This paper cites CAMixerSR: Only Details Need More “Attention.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment CAMixerSR: Only Details Need More “Attention

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:55.036661Z

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Observation 54e70909-5475-4f44-9e36-2789661f25fc · outbound

This paper cites Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:41:53.915907Z

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Observation e3b3969b-ccaf-48df-a056-fd853f45c503 · outbound

This paper cites Image Processing GNN: Breaking Rigidity in Super-Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Image Processing GNN: Breaking Rigidity in Super-Resolution,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:55.021670Z

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Observation 055ef7b7-435d-4342-a821-4de15d0fdd7f · outbound

This paper cites Channel-Wise and Spatial Feature Modulation Network for Single Image Super- Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Channel-Wise and Spatial Feature Modulation Network for Single Image Super- Resolution,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:55.006345Z

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Observation a1b945b3-fcca-4923-80b0-b9414a953f0d · outbound

This paper cites Diffu- sion Prior Interpolation for Flexibility Real-World Face Super- Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Diffu- sion Prior Interpolation for Flexibility Real-World Face Super- Resolution,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.991920Z

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Observation 32833953-47c9-46c0-b445-fa2d897dbc8e · outbound

This paper cites DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.976904Z

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Observation 9ed6b250-e90d-473b-9c9a-4bb9fabeaf25 · outbound

This paper cites Dy- namic Attention-Guided Diffusion for Image Super-Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Dy- namic Attention-Guided Diffusion for Image Super-Resolution,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.960713Z

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Observation d12628ab-31a4-43fd-8019-a8718cc517e0 · outbound

This paper cites SeeSR: Towards Semantics-Aware Real-World Image Super- Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment SeeSR: Towards Semantics-Aware Real-World Image Super- Resolution,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.945842Z

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Observation 1e2aadd8-da90-49a8-89fc-d1a7d17bf674 · outbound

This paper cites Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.931206Z

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Observation 7e1d97ad-15b2-4e27-81d0-4f4a94e02dc5 · outbound

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

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Image quality assessment: from error visibility to structural similarity,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.916076Z

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Observation 031fbc67-63d7-4806-8533-8e7f7eafeb20 · outbound

This paper cites Complex Wavelet Structural Similarity: A New Image Similarity Index,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Complex Wavelet Structural Similarity: A New Image Similarity Index,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.900781Z

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Observation 3d5d36e9-413c-4aaa-a510-296700df6519 · outbound

This paper cites Multiscale struc- tural similarity for image quality assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Multiscale struc- tural similarity for image quality assessment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.885787Z

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Observation cbae423e-4687-43f7-b1c1-266026dca465 · outbound

This paper cites Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.870003Z

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Observation 894936d0-328c-4052-97d9-e3cf51f9566b · outbound

This paper cites Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.854206Z

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Observation 59b00c32-a21b-455c-b1d4-04357151542f · outbound

This paper cites Rethinking and Conceptualizing Just Noticeable Difference Estimation by Residual Learning,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Rethinking and Conceptualizing Just Noticeable Difference Estimation by Residual Learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.838543Z

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Observation 4c5cae5a-d653-461e-b1bb-1bb5191099c4 · outbound

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

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.821022Z

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Observation 16bceea5-80cf-4010-882e-5f2426965b00 · outbound

This paper cites Deep Underwater Image Quality Assessment With Explicit Degradation Awareness Embedding,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Deep Underwater Image Quality Assessment With Explicit Degradation Awareness Embedding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.804463Z

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Observation f90867d9-d65b-4cdc-adff-133f67dd5c88 · outbound

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

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Blindly Assess Image Quality in the Wild Guided by a Self- Adaptive Hyper Network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.788228Z

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Observation 430af6b3-760b-472a-82ed-d7365effaed5 · outbound

This paper cites LIQA: Lifelong Blind Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment LIQA: Lifelong Blind Image Quality Assessment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.773684Z

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Observation d4c1d8d9-56a6-45c9-9ca2-78c5e7cbc08b · outbound

This paper cites Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:41:53.892750Z

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Observation 655b103b-89b8-4707-8cb6-450a8be9b57e · outbound

This paper cites A No-Reference Deep Learning Quality Assessment Method for Super-Resolution Images Based on Frequency Maps,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment A No-Reference Deep Learning Quality Assessment Method for Super-Resolution Images Based on Frequency Maps,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.757703Z

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Observation f47050a3-c1d3-45a3-9b96-b372555cfc84 · outbound

This paper cites Visual Quality Assess- ment for Super-Resolved Images: Database and Method,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Visual Quality Assess- ment for Super-Resolved Images: Database and Method,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.741679Z

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Observation 409e597e-6d48-457e-bbc6-69e6926c14af · outbound

This paper cites Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Nat- uralness,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Nat- uralness,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.725833Z

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Observation 76eacf95-7034-4513-94a8-74d9ce3128ec · outbound

This paper cites Quality Assessment of Image Super- Resolution: Balancing Deterministic and Statistical Fidelity@,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Quality Assessment of Image Super- Resolution: Balancing Deterministic and Statistical Fidelity@,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.709616Z

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Observation e124a9d9-4ffa-4dfe-b4a8-2e45c9285599 · outbound

This paper cites Blind quality assessment for image superresolution using deep two-stream convolutional networks,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Blind quality assessment for image superresolution using deep two-stream convolutional networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.692995Z

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Observation c6f1d27a-0f74-4a45-acbb-a385f95d23f4 · outbound

This paper cites A No-Reference Deep Learning Quality Assessment Method for Super-Resolution Images Based on Frequency Maps,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment A No-Reference Deep Learning Quality Assessment Method for Super-Resolution Images Based on Frequency Maps,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.677843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 959afd03-bfde-4f63-ac8a-a01308a1f25e · outbound

This paper cites Learning- Based Quality Assessment for Image Super-Resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Learning- Based Quality Assessment for Image Super-Resolution,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.661319Z

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Observation 2bc64940-57a3-44b8-940a-f565772a98ed · outbound

This paper cites Boost- ing No-Reference Super-Resolution Image Quality Assessment with Knowledge Distillation and Extension,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Boost- ing No-Reference Super-Resolution Image Quality Assessment with Knowledge Distillation and Extension,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.645039Z

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Observation edab0abb-afb7-4746-919b-b43c74c968d5 · outbound

This paper cites Joint channel-spatial attention network for super-resolution image quality assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Joint channel-spatial attention network for super-resolution image quality assessment,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.628511Z

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Observation 99152edb-9daa-43c2-94d8-43b7802f77d3 · outbound

This paper cites TADSRNet: A triple-attention dual-scale residual network for super-resolution image quality assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment TADSRNet: A triple-attention dual-scale residual network for super-resolution image quality assessment,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.613688Z

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Observation e6db64b2-fc9c-4c80-87b6-dd5af6a0b157 · outbound

This paper cites Deformable Convolutional Networks,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Deformable Convolutional Networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.598620Z

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Observation ba5cb943-ee8b-4ac2-8542-f15d914d4732 · outbound

This paper cites Deformable ConvNets V2: More Deformable, Better Results,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Deformable ConvNets V2: More Deformable, Better Results,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.582814Z

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Observation 0ba38e13-de81-4bbe-babc-23d9249646c8 · outbound

This paper cites Human perception of spatial fre- quency varies with stimulus orientation and location in the visual field,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Human perception of spatial fre- quency varies with stimulus orientation and location in the visual field,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.558833Z

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Observation 107443ca-c36e-4ccc-a632-a5baad5ea782 · outbound

This paper cites Region-Adaptive Deformable Network for Image Quality As- sessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Region-Adaptive Deformable Network for Image Quality As- sessment,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.543678Z

Source-reported events for the cited work

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Observation b762eeb2-fdf5-4405-8e2c-d1430c75c811 · outbound

This paper cites Dual-quality map based no reference image quality assessment using deformable convolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Dual-quality map based no reference image quality assessment using deformable convolution,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.527980Z

Source-reported events for the cited work

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Observation fa5672bd-8696-44db-b8e6-d8534078c884 · outbound

This paper cites View from the Top: Hierarchies and Reverse Hierarchies in the Visual System,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment View from the Top: Hierarchies and Reverse Hierarchies in the Visual System,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.512765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d3056ad-f0e4-4c21-918a-63948f642fc7 · outbound

This paper cites Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.497666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b998944-5700-4611-895e-c2c2d475701f · outbound

This paper cites Quaternion Structural Sim- ilarity: A New Quality Index for Color Images,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Quaternion Structural Sim- ilarity: A New Quality Index for Color Images,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.481965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 617ab67f-b0b9-4791-8715-dc962a777d9d · outbound

This paper cites Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.466792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 460ff519-51fb-4e13-812a-34fb707d9f2b · outbound

This paper cites Encoding Distortions for Multi-task Full-Reference Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Encoding Distortions for Multi-task Full-Reference Image Quality Assessment,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.450926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 119d9861-7cc7-4a45-82b2-a54b065bd28f · outbound

This paper cites SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.435839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1dfe1306-4329-4c3e-a82f-5221685dc63f · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Per- ceptual Metric,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment The Unreasonable Effectiveness of Deep Features as a Per- ceptual Metric,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.420534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4cfc8ee-71fb-483b-9862-3111df06bbad · outbound

This paper cites A Full-Reference Quality Assessment Metric for Fine-Grained Compressed Images,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment A Full-Reference Quality Assessment Metric for Fine-Grained Compressed Images,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.403548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aeaf3480-7ada-4bfe-83c3-4ef226a18845 · outbound

This paper cites MFAN: A Multi-Projection Fusion Atten- tion Network for No-Reference and Full-Reference Panoramic Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment MFAN: A Multi-Projection Fusion Atten- tion Network for No-Reference and Full-Reference Panoramic Image Quality Assessment,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.387872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aba0e96d-79c8-4349-a78f-3f81971d75cf · outbound

This paper cites Full-Reference Image Quality Assessment: Addressing Content Misalignment Issue by Comparing Order Statistics of Deep Features,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Full-Reference Image Quality Assessment: Addressing Content Misalignment Issue by Comparing Order Statistics of Deep Features,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.371988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbe2dc4f-57fe-43a3-83d3-7623bab0cf86 · outbound

This paper cites Graph- Represented Distribution Similarity Index for Full-Reference Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Graph- Represented Distribution Similarity Index for Full-Reference Image Quality Assessment,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.355908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 957a5e47-321d-435f-8d78-83555ca46734 · outbound

This paper cites Debiased Mapping for Full-Reference Image Quality Assess- ment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Debiased Mapping for Full-Reference Image Quality Assess- ment,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.339951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cf1ac1a-97a4-4789-b058-a03788b34785 · outbound

This paper cites Single Image Super-Resolution Quality Assessment: A Real- World Dataset, Subjective Studies, and an Objective Metric,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Single Image Super-Resolution Quality Assessment: A Real- World Dataset, Subjective Studies, and an Objective Metric,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.323991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fed1206b-cef8-42be-ac7c-bf816b886891 · outbound

This paper cites C 2MT: A Credible and Class-Aware Multi-Task Transformer for SR-IQA,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment C 2MT: A Credible and Class-Aware Multi-Task Transformer for SR-IQA,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.308994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1caf4c60-8721-462a-b1ea-ccea7b68301f · outbound

This paper cites Multi-Frame Super-Resolution With Raw Images Via Modified Deformable Convolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Multi-Frame Super-Resolution With Raw Images Via Modified Deformable Convolution,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.294013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ab64b95-4c91-4eb0-9de8-ec6e88be45e2 · outbound

This paper cites EDVR: Video Restoration With Enhanced Deformable Convolutional Networks,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment EDVR: Video Restoration With Enhanced Deformable Convolutional Networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.277142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aba3e7dc-6b51-4377-8a88-5b1199e26990 · outbound

This paper cites Super-Resolution Reconstruction Algorithm for Infrared Image with Double Regular Items Based on Sub-Pixel Convolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Super-Resolution Reconstruction Algorithm for Infrared Image with Double Regular Items Based on Sub-Pixel Convolution,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.261015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c176778e-3e62-40fc-8ace-e854e28bf3e5 · outbound

This paper cites A sub- pixel convolution-based improved bidirectional feature pyramid network for pansharpening,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment A sub- pixel convolution-based improved bidirectional feature pyramid network for pansharpening,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.244556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e9f1f47-36f2-44e0-af55-feafda823fb8 · outbound

This paper cites CrossViT: Cross- Attention Multi-Scale Vision Transformer for Image Classifica- tion,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment CrossViT: Cross- Attention Multi-Scale Vision Transformer for Image Classifica- tion,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.228768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb2ce351-ab01-4c9a-8d47-3cda888d285d · outbound

This paper cites Aggregated Residual Transformations for Deep Neural Networks,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Aggregated Residual Transformations for Deep Neural Networks,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.213753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8abb93ab-8c6c-437d-a8d2-a46d840a8fb0 · outbound

This paper cites ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.198857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1c23683-c2a2-4de7-88b0-38c7bf63e73a · outbound

This paper cites Deep Residual Learn- ing for Image Recognition,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Deep Residual Learn- ing for Image Recognition,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.184301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 442faf2c-4cdb-4f78-95ef-446c97ada938 · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Learning a no-reference quality metric for single-image super-resolution,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.169448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a04da7e1-f28e-41e0-ace7-fcb98eb974af · outbound

This paper cites Objective Quality Assessment of Interpolated Natural Images,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Objective Quality Assessment of Interpolated Natural Images,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.153932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cdab087-1983-4fba-9b7f-28bc8fc3514f · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Percep- tual Metric,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment The Unreasonable Effectiveness of Deep Features as a Percep- tual Metric,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.139284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f42fccac-7528-46f2-8b97-599fa6da0e6e · outbound

This paper cites Making a “Completely Blind.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Making a “Completely Blind

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.124106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c813dc19-0d6d-46c7-b69a-2dafeda628ef · outbound

This paper cites A highly efficient method for blind image quality assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment A highly efficient method for blind image quality assessment,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.108758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62d14280-6e48-4cb7-845f-d897df5b7347 · outbound

This paper cites Exploring CLIP for Assessing the Look and Feel of Images,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Exploring CLIP for Assessing the Look and Feel of Images,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.093586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42e6c37e-de55-4734-a5c6-752637a486ec · outbound

This paper cites TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.077994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c332bef3-f524-4dfb-bdd2-5d09b508da87 · outbound

This paper cites Perception- and Fidelity-Aware Reduced-Reference Super-Resolution Im- age Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Perception- and Fidelity-Aware Reduced-Reference Super-Resolution Im- age Quality Assessment,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.062931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2609df0-c1c8-4e1d-a4aa-ff1e27471f78 · outbound

This paper cites LDConv: Linear deformable convolution for improving convolutional neural networks,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment LDConv: Linear deformable convolution for improving convolutional neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.046947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10d714e9-26bd-403a-a54c-5f01709abf7f · outbound

This paper cites Convolutional Neural Networks for No-Reference Image Quality Assessment,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Convolutional Neural Networks for No-Reference Image Quality Assessment,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.029431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf5c6b77-2049-48b7-8afd-89da9cc44793 · outbound

This paper cites MUSIQ: Multi-Scale Image Quality Transformer,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment MUSIQ: Multi-Scale Image Quality Transformer,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:54.013199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbf66f7c-5cba-4732-9c29-24e5c567d952 · outbound

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

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:53.996771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd3d1789-24a5-413e-a3db-2c0019b0a318 · outbound

This paper cites LIVE In the Wild Image Quality Challenge Database,.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment LIVE In the Wild Image Quality Challenge Database,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:53.980934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11a12aa5-e6fb-4722-8353-1149e422b5c5 · outbound

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

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:41:53.965119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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