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Paper Citation Record · LEDGER

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications

As of 18 August 2026, this Paper Citation Record lists 100 of 228 outbound references and 0 inbound Pith citation observations for arXiv:2601.22202.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.22202 v2

Coverage vector

measured 100 of 228 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:46:15.991923Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 228 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1405f601-e211-41ce-9484-9e15cc8cc19d · outbound

This paper cites The Synthesis Between Artificial Intelligence and Editing Stories of the Future,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications The Synthesis Between Artificial Intelligence and Editing Stories of the Future,

Reference 1

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Observation 93b77fa5-fee9-4b45-a37f-ad5c79089679 · outbound

This paper cites Transmit what you need: task-adaptive semantic communications for visual information,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Transmit what you need: task-adaptive semantic communications for visual information,

Reference 2

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Observation 72fc1258-ecda-454f-8cb2-6100f534b9a9 · outbound

This paper cites Vpr-bench: An open-source visual place recogni- tion evaluation framework with quantifiable viewpoint and appearance change,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Vpr-bench: An open-source visual place recogni- tion evaluation framework with quantifiable viewpoint and appearance change,

Reference 3

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Observation 141801ec-026a-406a-97fe-d78bb270ed8f · outbound

This paper cites A Survey on Semantic Communications for Intelligent Wireless Networks,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Semantic Communications for Intelligent Wireless Networks,

Reference 4

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Observation 86e31568-a76a-4898-9a54-71dcaa47b229 · outbound

This paper cites Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges,

Reference 5

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Observation 526a62f5-ffb6-43c8-9b41-bff5e6ae3438 · outbound

This paper cites Semantics-Empowered Communications: A Tutorial-Cum-Survey,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantics-Empowered Communications: A Tutorial-Cum-Survey,

Reference 6

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Observation f8880bdd-ab1f-4752-bede-5b5ddcabe830 · outbound

This paper cites Less Data, More Knowledge: Building Next Generation Semantic Communication Networks,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Less Data, More Knowledge: Building Next Generation Semantic Communication Networks,

Reference 7

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Observation c1790586-fb9f-4e13-9ba4-3b3fc36c9116 · outbound

This paper cites Intellicise Wireless Networks from Semantic Communications: A Survey, Research Issues, and Challenges,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Intellicise Wireless Networks from Semantic Communications: A Survey, Research Issues, and Challenges,

Reference 8

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source=pdf_text observed=2026-08-03T06:46:09.104748Z digest=sha256:6d22b9e059ce3fa55e32c004ea8ebe456797e2bf541232fbb139cc12ff7591fe

Observation c86eaab6-3941-481b-ae86-f832f107e3d5 · outbound

This paper cites A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Direc- tions,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Direc- tions,

Reference 9

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Observation 791382b9-6514-4197-841d-3848b2bfabd5 · outbound

This paper cites Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions,

Reference 10

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source=pdf_text observed=2026-08-03T06:46:09.211416Z digest=sha256:778badd620f9627a64220cc145ec4c421ac3e240d07137501e92e08b4103e1c0

Observation 546b8445-7fd2-4cf1-bb3f-bc84d2139df3 · outbound

This paper cites A Review of Convolutional Neural Networks in Computer Vision,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Review of Convolutional Neural Networks in Computer Vision,

Reference 11

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Observation 862274d1-8433-46ce-b12a-08fe6f4268e7 · outbound

This paper cites Visual Analytics for Machine Learn- ing: A Data Perspective Survey,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Visual Analytics for Machine Learn- ing: A Data Perspective Survey,

Reference 12

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source=pdf_text observed=2026-08-03T06:46:09.272575Z digest=sha256:90c0f097502ef9ae493bf69c6a2cdd0ff7541e78014952ff9b17d10743567bda

Observation 80030922-cd26-47b3-881b-b3c798e197ce · outbound

This paper cites A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application,

Reference 13

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source=pdf_text observed=2026-08-03T06:46:09.363790Z digest=sha256:30c51c31ce023cd96982173fb5e3531447fdb5ff563d4f04bd68065ca5245253

Observation 7888ce32-8e35-4c17-a24d-87a13e7e9561 · outbound

This paper cites Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks

Reference 14

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source=pdf_text observed=2026-08-03T06:46:09.419045Z digest=sha256:c85fcca31e019b4f9c73d16e2c846027607d998c85bde05499a8c674266b822b

Observation 10478c31-b580-4eaa-a091-5d320035f793 · outbound

This paper cites Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

Reference 15

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source=pdf_text observed=2026-08-03T06:46:09.483188Z digest=sha256:334ca830ba0c6961b2293afb617ba293a11d4f5bdb0cffdd9022724e711bd574

Observation fe19ff23-5945-47ec-be88-2c65ef81fdb9 · outbound

This paper cites Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization,

Reference 16

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source=pdf_text observed=2026-08-03T06:46:09.544973Z digest=sha256:58fea6a4f53bedcb2115d20cfd5023f2ae5702c1dcebb20d14af86cbe46494a8

Observation 6dc4119e-0a9a-4093-aef0-f1e6e9423a33 · outbound

This paper cites Task-Oriented Explainable Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Task-Oriented Explainable Semantic Communications,

Reference 17

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source=pdf_text observed=2026-08-03T06:46:09.597936Z digest=sha256:f9a74b46d51ba836c1f61f7f26e224b38feb30cfc69370abe72641090e023a6a

Observation a004b408-eddd-4da4-af56-1e982fac47e8 · outbound

This paper cites Vector Quantized Semantic Communication System,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Vector Quantized Semantic Communication System,

Reference 18

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source=pdf_text observed=2026-08-03T06:46:09.648649Z digest=sha256:298347f499a2ab8d57edd4877f42643faae522c0d65f6e9ff2c2d38052b5a7d3

Observation 371c60d7-1764-44f7-800e-e49fd6dabcc8 · outbound

This paper cites Federated Semantic Learning Driven by Information Bottleneck for Task-Oriented Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Federated Semantic Learning Driven by Information Bottleneck for Task-Oriented Communications,

Reference 19

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source=pdf_text observed=2026-08-03T06:46:09.716771Z digest=sha256:174c04bcaa5bfcfc692b24c38f69a1796aafb602c890e775c91fb183e9de4e12

Observation e294b033-2d37-42b2-9986-29b2ae8275a7 · outbound

This paper cites A semantic communication-based workload-adjustable transceiver for wireless AI-generated content (AIGC) delivery.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A semantic communication-based workload-adjustable transceiver for wireless AI-generated content (AIGC) delivery

Reference 20

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source=pdf_text observed=2026-08-03T06:46:09.755878Z digest=sha256:9f6dedf4dab4fbe450fc5509cdccd884dd858d90de13f5b8c5a37918f2d14860

Observation 7bc6b3b3-4f68-4c2a-9734-5c27a71f6909 · outbound

This paper cites Background Knowledge Aware Semantic Coding Model Selection,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Background Knowledge Aware Semantic Coding Model Selection,

Reference 21

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source=pdf_text observed=2026-08-03T06:46:09.856872Z digest=sha256:51b4e0f55664f87bf37c295e7a5650675912d7896c9600151adbc6270658e97a

Observation 20774055-b8ae-444e-b2d4-89bc9e12763d · outbound

This paper cites Vista: Video Transmission Over a Semantic Communication Approach,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Vista: Video Transmission Over a Semantic Communication Approach,

Reference 22

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source=pdf_text observed=2026-08-03T06:46:09.947652Z digest=sha256:9190cec19bcd9cd3ccad9611bd968c86ceb5b0e52631073b80938b76b20198c7

Observation 8c0ed3f2-55e1-48fb-93a4-6405ca46351b · outbound

This paper cites VISTA: A Semantic Communication Approach for Video Transmission,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications VISTA: A Semantic Communication Approach for Video Transmission,

Reference 23

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source=pdf_text observed=2026-08-03T06:46:10.024754Z digest=sha256:93602fab2ad76ad4e12aa4b49c94f00cab448dd8767d2cdd062ddf93cc85979f

Observation 66764948-ead6-4b9c-b33a-48b7747d8a5e · outbound

This paper cites Deep learning enabled semantic communication systems,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep learning enabled semantic communication systems,

Reference 24

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source=pdf_text observed=2026-08-03T06:46:10.094759Z digest=sha256:f859838ca4f5f955bfd42608fc38ef9d821d448a9a128129ba1be5b3c2af5294

Observation f65cb3bb-9756-4320-82a9-dda2eb5ea820 · outbound

This paper cites A wireless ai-generated content (aigc) provisioning framework em- powered by semantic communication,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A wireless ai-generated content (aigc) provisioning framework em- powered by semantic communication,

Reference 25

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source=pdf_text observed=2026-08-03T06:46:10.208038Z digest=sha256:1e92500caa8223c3c8feef871e9c4b15c6caea51dfe0190c03b3e3ee7fd858f4

Observation f8edba64-f832-4495-a3a7-cdd273296197 · outbound

This paper cites When Wireless Communications Meet Computer Vision in Beyond 5G,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications When Wireless Communications Meet Computer Vision in Beyond 5G,

Reference 26

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source=pdf_text observed=2026-08-03T06:46:10.283036Z digest=sha256:cd0d046a43063f6a7cf8f569d9af1d5888f28e95c4ab7ddcba76caac6bd6293e

Observation c75bd33f-604b-4713-a35f-39299dc0b195 · outbound

This paper cites Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Oppor- tunities, and Challenges,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Oppor- tunities, and Challenges,

Reference 27

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source=pdf_text observed=2026-08-03T06:46:10.364747Z digest=sha256:a642a4334d5c689be96749720ec326954c3b0bfa0a14b6557e3084edc9bacb8d

Observation a7bc66b2-cd74-4626-aeb2-b2155affcabf · outbound

This paper cites an unresolved cited work.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-03T06:46:10.483725Z digest=sha256:8ed4cdd7de34e32d1bb0e28764054b325a2e5af49c1b41c5bda16b3926d23397

Observation 7c880595-17a7-4db1-ab38-a71656181aaf · outbound

This paper cites A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions,

Reference 29

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source=pdf_text observed=2026-08-03T06:46:10.553815Z digest=sha256:dd1b5ff9a35381be6e5c7095e3fa04248697b251422f82fe13da4f654d634132

Observation 1e79cede-5b6d-45c2-b148-0f2f25708713 · outbound

This paper cites Deep Learning vs. Traditional Computer Vision,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep Learning vs. Traditional Computer Vision,

Reference 30

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Observation 274447be-342c-4881-b864-4fb9d7175bdb · outbound

This paper cites S- ran: Semantic-aware radio access networks,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications S- ran: Semantic-aware radio access networks,

Reference 31

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source=pdf_text observed=2026-08-03T06:46:10.649519Z digest=sha256:1bb15a3b106864e10c379c2ac14d6695b2e7088791eb5f967f273b6bbc022fba

Observation 795c50c5-f4e7-4157-b088-e2503c3fcbd2 · outbound

This paper cites Machine Learning Enabled Heterogeneous Semantic and Bit Communication,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Machine Learning Enabled Heterogeneous Semantic and Bit Communication,

Reference 32

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source=pdf_text observed=2026-08-03T06:46:10.697264Z digest=sha256:ec74233459099c74db8a55dc76aa11b530ceae78db0b4181e47c4c1dfecd371e

Observation 2d19116c-460f-40f2-ad68-68eebd4622f9 · outbound

This paper cites Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Se- mantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Se- mantic Communications,

Reference 33

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source=pdf_text observed=2026-08-03T06:46:10.844836Z digest=sha256:27028e2e88ee33ec4316058d228d23d94b13cd9a5884df2c79c4f0a83c4b637c

Observation 1ddb02a0-75ab-42bc-b518-ab5ee55ed8c8 · outbound

This paper cites Niu and P.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Niu and P

Reference 34

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source=pdf_text observed=2026-08-03T06:46:10.933440Z digest=sha256:1b013cba1f12a94e91de2543d12e237fd207c7ec9b8e6a0f3c662239140de22b

Observation b029eb3b-6b0f-4401-bd1e-23d4b8c6e257 · outbound

This paper cites Advanced Semantics for Commonsense Knowledge Extraction,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Advanced Semantics for Commonsense Knowledge Extraction,

Reference 35

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Observation 332054ef-627b-47f3-8f39-fb5b1a3784b2 · outbound

This paper cites A Continual Learning Survey: Defy- ing Forgetting in Classification Tasks,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Continual Learning Survey: Defy- ing Forgetting in Classification Tasks,

Reference 36

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Observation fa21079a-232e-45d5-a7b7-3e26cb1607ca · outbound

This paper cites Resource Management, Security, and Privacy Issues in Semantic Communications: A Survey,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Resource Management, Security, and Privacy Issues in Semantic Communications: A Survey,

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Observation cabf3387-3a05-4cae-a4e2-2f9420204d05 · outbound

This paper cites Toward Intelli- gent Resource Allocation on Task-Oriented Semantic Communication,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Toward Intelli- gent Resource Allocation on Task-Oriented Semantic Communication,

Reference 38

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Observation 7b5e14a0-d6e9-4cd7-b37e-666450914e4d · outbound

This paper cites A Survey on Semantic Communication Networks: Architecture, Security, and Privacy,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Semantic Communication Networks: Architecture, Security, and Privacy,

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Observation e38eb45c-f405-4b6c-813e-e9ae5b1b4b86 · outbound

This paper cites What Is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications What Is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence,

Reference 40

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Observation 2a8e80f9-a436-4896-b80f-6fe889de75f1 · outbound

This paper cites A Survey of Con- volutional Neural Networks: Analysis, Applications, and Prospects,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey of Con- volutional Neural Networks: Analysis, Applications, and Prospects,

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source=pdf_text observed=2026-08-03T06:46:11.565906Z digest=sha256:ac2f445e2546b25fab6ff0a1789e8f13aa1a8546d9e2f6f5a789a4ffea6b63cf

Observation 4bc06756-f589-4502-aec0-363cc7138c7e · outbound

This paper cites An Equivalence of Fully Connected Layer and Convolutional Layer.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications An Equivalence of Fully Connected Layer and Convolutional Layer

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Observation 7628a379-8116-4439-b79e-ffb23de809bc · outbound

This paper cites Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification,

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Observation 13308ddd-09f9-4d2b-9806-4b454e777a32 · outbound

This paper cites The Unreasonable Effectiveness of Fully-Connected Layers for Low- Data Regimes,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications The Unreasonable Effectiveness of Fully-Connected Layers for Low- Data Regimes,

Reference 44

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Observation e81b57fd-dbb4-4d63-aac2-e3e624bc3c60 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Fully convolutional networks for semantic segmentation,

Reference 45

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source=pdf_text observed=2026-08-03T06:46:11.859976Z digest=sha256:953d805bfed58da06b780fbfc8f6c102e6da2600818381473ea0e5cc8d7f84fa

Observation 2c4aaef2-fe46-4b8a-b8b1-7135d53041ee · outbound

This paper cites An Introduction to Convolutional Neural Networks.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications An Introduction to Convolutional Neural Networks

Reference 46

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source=pdf_text observed=2026-08-03T06:46:11.895165Z digest=sha256:c6ee9714da3d022f3ac262e8fd4ec52768680a378f0fb328088a5aeac117d014

Observation c18f5dbe-b27a-4312-aabb-a261e586c414 · outbound

This paper cites Understanding Convolution for Semantic Segmentation,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Understanding Convolution for Semantic Segmentation,

Reference 47

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source=pdf_text observed=2026-08-03T06:46:11.984755Z digest=sha256:6ab226c257eb2dc8b31b14617516381403bbc8d0bd80a50eac30e7df37f20203

Observation 9a6c4564-3c04-40c0-8175-91e23369ac1e · outbound

This paper cites Activation Functions: Comparison of trends in Practice and Research for Deep Learning.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Activation Functions: Comparison of trends in Practice and Research for Deep Learning

Reference 48

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Observation a609a81f-097d-4f37-9afc-1926ab0ab095 · outbound

This paper cites FinBack: Infiltrating Backdoors into Gradient Compressors on Federated Learning,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications FinBack: Infiltrating Backdoors into Gradient Compressors on Federated Learning,

Reference 49

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source=pdf_text observed=2026-08-03T06:46:12.208014Z digest=sha256:e23c756edeb0657ab856583755e6cf1cb6556022fd0e8767358060154ff15740

Observation 54713d90-4160-44ee-b041-b0ae864406f9 · outbound

This paper cites ROBY: A Byzantine-Robust and Privacy-Preserving Serverless Federated Learning Framework,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications ROBY: A Byzantine-Robust and Privacy-Preserving Serverless Federated Learning Framework,

Reference 50

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source=pdf_text observed=2026-08-03T06:46:12.303506Z digest=sha256:62b3ef81e84aefd8bf2c207e0c4a632df6f1f293ce5e48b23012f9c5e07e36f5

Observation 6eb2bb9f-c5de-4fd5-8c98-dd89ede8abd2 · outbound

This paper cites Pile: Robust Privacy-Preserving Federated Learning via Verifiable Perturbations,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Pile: Robust Privacy-Preserving Federated Learning via Verifiable Perturbations,

Reference 51

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source=pdf_text observed=2026-08-03T06:46:12.367391Z digest=sha256:2adacb38734b310616982ca4258c02d73a314b82d7a0e0d95811339b317ee91b

Observation 115dd6ba-b1c6-4c5e-971b-07c35a184351 · outbound

This paper cites Nonparametric Regression Using Deep Neu- ral Networks With Relu Activation Function,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Nonparametric Regression Using Deep Neu- ral Networks With Relu Activation Function,

Reference 52

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source=pdf_text observed=2026-08-03T06:46:12.397647Z digest=sha256:48a6f45d8dc7b0d4c619f7201dcd28f4278df8ea00fc3dc863aa9ce3fa734a7a

Observation c507fdab-8085-4053-8137-9b442d9dd66a · outbound

This paper cites Why TanH Is a Hardware Friendly Activation Function for CNNs,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Why TanH Is a Hardware Friendly Activation Function for CNNs,

Reference 53

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Observation e2598413-107a-45be-a179-fb9332a5ec52 · outbound

This paper cites The Most Used Activation Functions: Classic Versus Current,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications The Most Used Activation Functions: Classic Versus Current,

Reference 54

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source=pdf_text observed=2026-08-03T06:46:12.485958Z digest=sha256:704581ecca2fb8c5339ddd2bf16dae65025ed7231988fdbb28c82a60d45e6196

Observation 026ad2ae-1b86-48aa-b721-456b3fbd4e03 · outbound

This paper cites Mixed Pooling for Convolu- tional Neural Networks,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Mixed Pooling for Convolu- tional Neural Networks,

Reference 55

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source=pdf_text observed=2026-08-03T06:46:12.543005Z digest=sha256:ac022a7d96f3d8d055ca31b70dfbf2d53b90cc416018aa097f9e74148caa679e

Observation 276ea92b-f8b6-4c72-8221-523c2114cf13 · outbound

This paper cites The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification,

Reference 56

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source=pdf_text observed=2026-08-03T06:46:12.562258Z digest=sha256:41b27f887f1658dce522cb47a4787fbf495c21e763446f8ad2c6a6a1785fbb8a

Observation 4d42aefb-2741-4dc3-9e27-7ef223a2924a · outbound

This paper cites Normalization Techniques in Training Dnns: Methodology, Analysis and Applica- tion,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Normalization Techniques in Training Dnns: Methodology, Analysis and Applica- tion,

Reference 57

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source=pdf_text observed=2026-08-03T06:46:12.624009Z digest=sha256:71471ce12f408845f77e8222cb422e6138c1494e0ea1bab9590270de17a1e3c6

Observation 9a068889-3917-404e-87b9-b1d558f7ec05 · outbound

This paper cites Layer Normalization.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Layer Normalization

Reference 58

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source=pdf_text observed=2026-08-03T06:46:12.738394Z digest=sha256:d749f40dc7c68ae0dcd4468113a8ecc672ea30d1bdbbf6344ae6dae330660068

Observation 68d39823-c359-4893-a3ea-b548dec7b32f · outbound

This paper cites A Review on the Attention Mechanism of Deep Learning,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Review on the Attention Mechanism of Deep Learning,

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source=pdf_text observed=2026-08-03T06:46:12.805191Z digest=sha256:f8380a8337adb820f5f4f1f7247797c363837cb262ba4f1888c4f083325ebeba

Observation 6f10dd56-efd1-441c-9827-0fc0b7972947 · outbound

This paper cites Attention Is All You Need,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Attention Is All You Need,

Reference 60

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source=pdf_text observed=2026-08-03T06:46:12.841101Z digest=sha256:c64f2306beb90b4f400e63b47642afe764381b8f834153656d63275c13b69866

Observation a01a0688-49b7-41b5-a5c7-6b1ae461573b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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source=pdf_text observed=2026-08-03T06:46:12.927056Z digest=sha256:8857f93df0aec7c94f24553b2945c1cd8cb4e2aaf2cdb478a344c245ed37bbf6

Observation 7f7f989d-8918-480a-b25d-ab5df2fa4b4d · outbound

This paper cites Resnet in Resnet: Generalizing Residual Architectures.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Resnet in Resnet: Generalizing Residual Architectures

Reference 62

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source=pdf_text observed=2026-08-03T06:46:13.051859Z digest=sha256:ab94645510d6ca2d7407f67a95e9f4bcf3da4a27e077c458c708a5cfcba90f25

Observation ca96177e-1a62-4fa6-9e89-6fc6dce9b2d7 · outbound

This paper cites Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks With Symmetric Skip Connections,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks With Symmetric Skip Connections,

Reference 63

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source=pdf_text observed=2026-08-03T06:46:13.153119Z digest=sha256:9ebba9b21b679811332ff1ea8dd19cdbb6a654946a57b9092dd135332ac01514

Observation 0ee64bb0-ea06-4b38-b00a-7fb7213e9e99 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications U-Net: Convolutional Networks for Biomedical Image Segmentation,

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source=pdf_text observed=2026-08-03T06:46:13.232984Z digest=sha256:8d1ad74a9f299717116691f37af2a1e3f33266eebecfd3c658bea358d7fb74b0

Observation 06264f6a-a715-47a3-bff2-8e74310031e3 · outbound

This paper cites Semantic Communications: Principles and Challenges.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications: Principles and Challenges

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Observation 69ae2457-a62d-4ac6-8949-b015347e4a3c · outbound

This paper cites Knowledge-Assisted Privacy Preserving in Semantic Communication,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Knowledge-Assisted Privacy Preserving in Semantic Communication,

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source=pdf_text observed=2026-08-03T06:46:13.395019Z digest=sha256:fbe539f670672cab102fd4f4cd2c67b91870c60c188a51b9b5404d07d0e13bc3

Observation 48100746-3bde-4428-a929-b47725a459aa · outbound

This paper cites Semantic Communications with Computer Vision Sensing for Edge Video Trans- mission,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications with Computer Vision Sensing for Edge Video Trans- mission,

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source=pdf_text observed=2026-08-03T06:46:13.441135Z digest=sha256:b583c813f335b550148335c860303af17b4b369c2c8805321cc1483d2dc6712b

Observation ce50699c-21a0-4503-9dd6-312106d1e6a4 · outbound

This paper cites Lightweight Vision Model-based Multi-user Semantic Communication Systems.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Lightweight Vision Model-based Multi-user Semantic Communication Systems

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source=pdf_text observed=2026-08-03T06:46:13.501609Z digest=sha256:215bc92457f76cfe8cc4780e3e1bb833c43005c845b2d92391d0f1b01d455f07

Observation c7287647-60f6-4df1-bccc-59443fd705ce · outbound

This paper cites Personalized Fed- erated Learning for GAI-Assisted Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Personalized Fed- erated Learning for GAI-Assisted Semantic Communications,

Reference 69

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source=pdf_text observed=2026-08-03T06:46:13.598120Z digest=sha256:9badf103357eaecac5a54d5e85d26b0f0ac47100aaa636369eb552ca8128fc48

Observation ba9860ea-83ca-4fea-96d3-11ea5cf3345b · outbound

This paper cites A Lite Distributed Semantic Communication System for Internet of Things,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Lite Distributed Semantic Communication System for Internet of Things,

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source=pdf_text observed=2026-08-03T06:46:13.664034Z digest=sha256:8ae0f0d1db8edb566dabfe1651ee2fc8f7150fdf3e4da34407e341e4859d5259

Observation 1126b77c-bf80-4a83-a73e-4fe34ef3b484 · outbound

This paper cites Deep Joint Source-Channel Coding for Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep Joint Source-Channel Coding for Semantic Communications,

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source=pdf_text observed=2026-08-03T06:46:13.733085Z digest=sha256:b813b09286bad0674514e68d2e2c06ec21e8af718b0bf24d664f6f5c414bc307

Observation 17eec0a4-0ecb-458b-aed5-a1441a5dbb98 · outbound

This paper cites Innovative semantic communication system.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Innovative semantic communication system

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source=pdf_text observed=2026-08-03T06:46:13.787375Z digest=sha256:c6b29b6a97138f5ca15f2aae9cbce134365e7c5c3131f36a674c882e84068f67

Observation 413cfcf4-3b61-4c54-9ba9-712c356005a8 · outbound

This paper cites Joint Source-Channel Cod- ing for Channel-Adaptive Digital Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Joint Source-Channel Cod- ing for Channel-Adaptive Digital Semantic Communications,

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source=pdf_text observed=2026-08-03T06:46:13.852005Z digest=sha256:225e969fa68497d4ae89e883648721a3769da338e679bcda2ff169fc3c07094f

Observation a3ef52b2-b958-4f7f-be8d-20a972b73031 · outbound

This paper cites Channel Coding Towards 6G: Technical Overview and Outlook,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Channel Coding Towards 6G: Technical Overview and Outlook,

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Observation 5421f6b8-d117-421b-bf62-5329102aa4c4 · outbound

This paper cites Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications,

Reference 75

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source=pdf_text observed=2026-08-03T06:46:14.044758Z digest=sha256:48938448984aae5ab34b22b30dc678976b80a6e64e3c35f0a89fd39fa0b6aa7a

Observation ae99972b-3113-4cd2-bfaa-d2b93d6b725b · outbound

This paper cites Power Allocation for Throughput Maximization in NOMA-Based Semantic Communication System,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Power Allocation for Throughput Maximization in NOMA-Based Semantic Communication System,

Reference 76

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source=pdf_text observed=2026-08-03T06:46:14.229930Z digest=sha256:4e1330a52f5555b24e19cda5390fe5f7e417506995eae1a2beb7c38d2eee3485

Observation 9d40d212-79ec-431c-a98c-a2545a89dbe8 · outbound

This paper cites Deep Learning for Computer Vision: A Brief Review,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep Learning for Computer Vision: A Brief Review,

Reference 77

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source=pdf_text observed=2026-08-03T06:46:14.329737Z digest=sha256:1a9d77724bbbe6ee527deb59efb0af763afcf806c64c3456ef41231ecff175f0

Observation 32b4dc36-6816-4140-9172-bf4d176f1d30 · outbound

This paper cites Segmentation-guided semantic-aware self-supervised denoising for sar image,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Segmentation-guided semantic-aware self-supervised denoising for sar image,

Reference 78

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source=pdf_text observed=2026-08-03T06:46:14.400326Z digest=sha256:8aaf421654b38b9bec11009bc66635544d54af3a6cb35bc2c6b376b6d32b6bbf

Observation 5a9e8c7b-db87-444d-880e-e6b3794efbce · outbound

This paper cites Deep learning in physical layer: Review on data driven end-to-end communication systems and their enabling semantic applications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep learning in physical layer: Review on data driven end-to-end communication systems and their enabling semantic applications,

Reference 79

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source=pdf_text observed=2026-08-03T06:46:14.478021Z digest=sha256:224f70334d8af5eac174c2b3c9841fc71c2b868b0768057b34b68be7d59cbbc3

Observation 60b2d84f-2a9a-416e-8ce8-d485f10dd6cb · outbound

This paper cites A Mathematical Theory of Semantic Communication.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Mathematical Theory of Semantic Communication

Reference 80

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source=pdf_text observed=2026-08-03T06:46:14.592577Z digest=sha256:20d695d8f70be90b0ddf519b3b14dd78166e54cc70ced414452fa6ddb8a45290

Observation 8458b413-d762-4524-a425-0a6d797757ce · outbound

This paper cites CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,

Reference 81

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source=pdf_text observed=2026-08-03T06:46:14.694442Z digest=sha256:9a48bd4d539613216bb34206494461ac6c4663e67113aba2387e8ef91c71ed6b

Observation 845c0f80-0cac-42d7-8424-074d72d56f38 · outbound

This paper cites Semantic Communications Based on Adaptive Generative Models and Information Bottleneck,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications Based on Adaptive Generative Models and Information Bottleneck,

Reference 82

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source=pdf_text observed=2026-08-03T06:46:14.734757Z digest=sha256:69b46ef40e123ecb3cc9b81177dfc1298d316fbea33c8cbf6f8681c9dcd84860

Observation dce11514-6253-40d6-a808-18b0daf7fbd3 · outbound

This paper cites Advanced Semantic Communication Techniques for IoT Using Disentangled Information Bottleneck,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Advanced Semantic Communication Techniques for IoT Using Disentangled Information Bottleneck,

Reference 83

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source=pdf_text observed=2026-08-03T06:46:14.831461Z digest=sha256:bfb0b325398f9dc31dbf7ddd357bf3bf676577d2ad0e9772f5b77f6cf0aaa968

Observation 976e9001-372a-4fd0-8d8f-1d63186aeb88 · outbound

This paper cites A Mathematical Framework of Semantic Communication based on Category Theory.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Mathematical Framework of Semantic Communication based on Category Theory

Reference 84

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source=pdf_text observed=2026-08-03T06:46:14.903995Z digest=sha256:505792c89f117f487e72a63a0d6d7659d3bea9833223fe31aba2bde9dbe2d630

Observation 3564d8d7-a224-45a2-8b91-94e1492f82b7 · outbound

This paper cites Transformers in Vision: A Survey,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Transformers in Vision: A Survey,

Reference 85

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source=pdf_text observed=2026-08-03T06:46:14.964377Z digest=sha256:ae4efb32c18a6332c38c5e196a1f1890e347bacb03cc00372213e8ba13e8c084

Observation aa91109d-ed87-4a97-99c3-fd895041f509 · outbound

This paper cites Attention Mechanisms in Computer Vision: A Survey,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Attention Mechanisms in Computer Vision: A Survey,

Reference 86

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source=pdf_text observed=2026-08-03T06:46:15.027647Z digest=sha256:2e6df42da443ea1590eee9c68d06e32c7a8d30168af08edbd80953fbd6eccba2

Observation 06ffe0d2-8068-448f-9693-86e60eca09ed · outbound

This paper cites A Survey on Vision Transformer,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Vision Transformer,

Reference 87

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source=pdf_text observed=2026-08-03T06:46:15.094221Z digest=sha256:2b0c32d1e0db39e15c25a08d13e3061fa9362bae90608c0f5ab46568778ee64f

Observation 74d62a7e-a4ee-431a-8332-b02465e2528f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Learning Transferable Visual Models From Natural Language Supervision,

Reference 88

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source=pdf_text observed=2026-08-03T06:46:15.135697Z digest=sha256:829b9bd5ed7e1672cb352a0e2effb8768ca6f4703c4d6d2b4905e45eb327d9a2

Observation a78330c6-8c21-4bbd-967d-f7cc685ce06c · outbound

This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications How Much Can CLIP Benefit Vision-and-Language Tasks?

Reference 89

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source=pdf_text observed=2026-08-03T06:46:15.177735Z digest=sha256:0abc0d784a25c4001b57bb0de3be3b34bae04e237b1c2538957216e6ce712c3e

Observation 53e0d98c-8fa6-4d91-8d88-b12f96d7791c · outbound

This paper cites Image Segmentation Semantic Communication Over Internet of Vehicles,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Image Segmentation Semantic Communication Over Internet of Vehicles,

Reference 90

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source=pdf_text observed=2026-08-03T06:46:15.301930Z digest=sha256:dd643802431d746a6d2f30a5b88544ee7b535ddba493a7d1f787fcbef4b68220

Observation b59eef38-eaf9-4f61-bad7-9d2b6a283720 · outbound

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

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows,

Reference 91

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source=pdf_text observed=2026-08-03T06:46:15.401588Z digest=sha256:bb8c1426257e6e10d7259de609f91f72b37cc4c6596760613133d6fad8227c1b

Observation eee7fd68-15cb-464b-91aa-6c0a5d9a907f · outbound

This paper cites Toward Semantic Com- munications: Deep Learning-Based Image Semantic Coding,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Toward Semantic Com- munications: Deep Learning-Based Image Semantic Coding,

Reference 92

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source=pdf_text observed=2026-08-03T06:46:15.468914Z digest=sha256:fecb3c3c1342b7e736f8dda9aa7c8e3798ea8db4bf94e7356564021f515abd13

Observation 5f2250bd-b081-4394-9659-d9baf6a7bd63 · outbound

This paper cites Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things

Reference 93

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source=pdf_text observed=2026-08-03T06:46:15.581690Z digest=sha256:aef0ac7eb4e58253b87474922b0e411a14a7ec14d942bf225cbb3dc7109ee2d1

Observation fab242d1-0c57-469e-a4cf-2090d1354ad1 · outbound

This paper cites Knowledge-base based semantic image transmission using clip,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Knowledge-base based semantic image transmission using clip,

Reference 94

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source=pdf_text observed=2026-08-03T06:46:15.634974Z digest=sha256:5f0435cc0cc9cc1eeaf76575796818f4b994238f8359a492c1a9019f507807f9

Observation d58130fd-1c30-45d7-a409-9bb8a66f1ed7 · outbound

This paper cites Language- Oriented Communication With Semantic Coding and Knowledge Dis- tillation for Text-To-Image Generation,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Language- Oriented Communication With Semantic Coding and Knowledge Dis- tillation for Text-To-Image Generation,

Reference 95

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source=pdf_text observed=2026-08-03T06:46:15.709998Z digest=sha256:6b069e04be9c7a14ee2c9ffff526c4872f61b5c04f87fd43fb5ade295c7c9093

Observation 0dd3922e-7daa-4bb2-b6d6-bf43e6100340 · outbound

This paper cites Knowledge Graph Embed- ding: A Survey of Approaches and Applications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Knowledge Graph Embed- ding: A Survey of Approaches and Applications,

Reference 96

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source=pdf_text observed=2026-08-03T06:46:15.749829Z digest=sha256:91a6224a30405587dc8b222fedf002a9fd8a2c1dad2dcf3b6fd735d09962f293

Observation 34b1e154-c692-4db3-9003-8150b024d4eb · outbound

This paper cites Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation,

Reference 97

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source=pdf_text observed=2026-08-03T06:46:15.897339Z digest=sha256:e4624b85a622b8e6f33e8528253cfde4d85c8a99d7a3daf6719ef40f21d3b818

Observation 210506fb-ecfa-424e-814f-8d7a5713f546 · outbound

This paper cites Translating Embeddings for Modeling Multi-Relational Data,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Translating Embeddings for Modeling Multi-Relational Data,

Reference 98

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source=pdf_text observed=2026-08-03T06:46:15.975472Z digest=sha256:0f883ddcd14dcaeb3091a89262c605b8095f231df2cf9080973b07888dc3eaf9

Observation 54b17915-5565-4f6c-ba62-7c248962b220 · outbound

This paper cites Inductive Representation Learning on Large Graphs,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Inductive Representation Learning on Large Graphs,

Reference 99

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source=pdf_text observed=2026-08-03T06:46:15.980512Z digest=sha256:5bf57f3a3529644d85ec86673560de0c15e1b172f410eaffab64cfa14d2e2d81

Observation f9bc1d13-afd9-4244-95be-c4bf8190a268 · outbound

This paper cites A Survey on Knowledge Graphs: Representation, Acquisition, and Applications,.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Knowledge Graphs: Representation, Acquisition, and Applications,

Reference 100

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source=pdf_text observed=2026-08-03T06:46:15.991923Z digest=sha256:ef46617f2a041657ad224d281e6e561330382ed487f91cea5b68391c3c10221c

Pith citing papers

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