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Paper Citation Record · LEDGER

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

As of 5 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 2026-08-04T06:34:03.388597+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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source=pdf_text observed=2026-08-03T06:46:08.887194Z digest=sha256:f49db5f6cef7c86c4d5948201f71dcde21d075fcd41f010e6ad95f85b759365b

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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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=sha256:41afd74c1e61ed279bfbf3b4030114fce1cc6a1c0654dfd8488fe4dd349c3bef

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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source=pdf_text observed=2026-08-03T06:46:09.243413Z digest=sha256:55b05ed19270585cc25f4d7fa52a766e8e8f7e8fbdf87c4ace62b18c406be610

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=sha256:415c14dd7bdea120c9625cb6bd5a1293ab2972fd11f5ee6848cc3e18d07e19be

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=sha256:76e0d142d281062c318dd3a54bf67fc4737e7d31a1bf9e3afccb163aaf72a49e

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=sha256:957938db2d7cfbf6b4f6030cadb9f57791e8ad4afc706cbaecc1b8c268868d5c

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:dd55b14dabffb0ead4abb85932c9c406c1dc28b9f81b4fd4f47442e3b601cbab

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=sha256:805058a2b5bce10e172af252b2027eac1d17d82a5f56e2cc15f58b8f4a230f3e

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=sha256:6052bc720baac76290dec79e19c7f4ae790fbb97688366bc33e150ecc43ba6a7

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:e32b1b55ea3669f7caf16686e88fa7add0971fd32fe355162726ecceeee6d2ab

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=sha256:5c005ffc78945f82ac4caad065e8af5ff5c6d719bd21ea22cd059d78fd36d29d

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=sha256:52345ff5d56fecfc52d7ec9db3f76987cbd177e7a733cd2cd1c90c0e3e0f6523

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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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=sha256:2c5179a80ffaddbcabbc193d49397b1b60d5f4e74dab103fbb615a604b4b5b99

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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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=sha256:17e14da7b106cde2476ba0bdf7904963bfb88405a3bbc35e7feb61c0d13479db

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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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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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=sha256:3efb20e8626da710c6c9fe732dde0cafbb12d5316fafb0854e6f9affb1c48bec

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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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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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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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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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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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=sha256:49dc0b441e90ee7bd3ec4c27f117c3b40c21bc5d5fe72fe156e8ed91490e4b37

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,

Reference 41

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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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source=pdf_text observed=2026-08-03T06:46:11.634747Z digest=sha256:415bb364dc4b4e3ab24abc750335bde5380f9cd4a80e7be02944ee2d0a4d7f59

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,

Reference 43

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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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source=pdf_text observed=2026-08-03T06:46:11.785822Z digest=sha256:a04fe566c1f073ad2d1d9cfc335116c801fc67407f2ddd43ebbd311ca913f135

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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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:e5fea7a3a5a686b799d99ad2e3e27f48667df1c6fd8ae298177c0a2235108992

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=sha256:0e87fbc61ce0bde64cf0606f23d648dc75fd8619fc2b4f87b5f344f4aeb30182

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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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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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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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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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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source=pdf_text observed=2026-08-03T06:46:12.474339Z digest=sha256:63faaf69c2c56953a6f280100aad9b0d024a0444d61d5444f7893cf79e72f081

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:b14d8f981a0a22e96aa67302999f9296d768d285a97af51cdfb7639c0b0779d7

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=sha256:8bd8285630c0a0af5b23ee4c565476f6ad66154cd22ffea971bfd09a1fb8b9dc

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=sha256:9c487ee153ba35546c8cc5eb7da764b3a180083a8723fa82d6ba3775c0fa7aa6

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:c04e1c7c407ed7d9b4871f2edcc27a0c4ddfe646ea0c413a82c1aab1d19e052d

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=sha256:243c63e4f178ee5e14b135b063a61d482564e61a460ff4dd2e10a0c35f776f32

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,

Reference 59

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source=pdf_text observed=2026-08-03T06:46:12.805191Z digest=sha256:46d105a7c6347cfbc1d14717edf7c4687779e9f8bcde1ce8b69fbb87c1c64fa5

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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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

Reference 61

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source=pdf_text observed=2026-08-03T06:46:12.927056Z digest=sha256:6b79e5ac2328df9c53e1601f035446aeb6923b3cd623e86b50b10686c437510f

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=sha256:3c71d835901f1a6c76c53fb1cd48c1b3ea53b054b709186e058b61068da56adb

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=sha256:3f3af9d483df2b11319bd6f48fa0bea755b46502a71db28db17420556025cc0c

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=sha256:3d29411a3c5934bcab45253b8d84994c0daa17ad8e93fe409d0874fcf8e72b75

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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source=pdf_text observed=2026-08-03T06:46:13.328123Z digest=sha256:4e4b553bb18783f9ae3d11e969bc4398c1f8322042a8dc07599fbe37788174fe

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=sha256:61d799f18b436e331f8e4083f6ce73828e44464b648b943eed90a4e5c46c42ba

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=sha256:3926cc79d65f37754964b03fcf75e2d1336b106413cdc8056dde1077441dc8bb

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

Reference 68

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source=pdf_text observed=2026-08-03T06:46:13.501609Z digest=sha256:6ccd5f48ee5181bec4422c1e670057f4d77196ba15b96a8093fc96aed7517db0

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=sha256:590c5e7a9e55da41c820087a4b97f264257d0fc3cd3b894d6e6bfd90b25aec45

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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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:c31e7e1871c06421a25b8fb5f86758a496387b90ff7e00af2c67dd6eb84f9251

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=sha256:3fc07041b1d0653f876963512d36adc139c0d1946c0a36a66d8da1ccf7f74e09

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=sha256:8fd78353afd2f96fd0b688a446b18542b624d25414946a6edd3d1e100f6e0145

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:f710cad40cbf9cf7bb4cd16ba71df73a459fb808ea6d6e68a28c089e8427887f

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:ffb5287658852971c2f1129553d796c8f2e3adc3fe8162727d23ef49121855ef

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=sha256:968c8a01934c4451f0fc05bac72c00c7fe2927985fa89a14258a55a45c9d52e4

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:de6e4882bae60aeafa4dcfa326fdc83318042a4bc2126aab0062ba55a4562fa5

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=sha256:8a01d398068b337844b6acf5ef5af59cdab4f52eea124b3a55f7a3474bdd45dc

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=sha256:083f735376eeb18922da3e0363a93865b730ce75c36d1ba2e52caf2ffeb04f08

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=sha256:066a371350747f4f90612222b41696359fbf1b17d3c7001de383437cf33dc358

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=sha256:7255a0925fde96e96ff34808dfdaf983b5b6e6e3ece70dcf3eaa1dd67effd660

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=sha256:019d059b7debccef31d3edd1ffacd952bd695fc65b54386e70e05b6ad1ce6928

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=sha256:50724ca4ec5a2f12f6d60c435f42e6d980ccb757cc29c244ec68d2e5b699c1a1

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=sha256:62d270cd3750834ad902498db2532b49f368df94c91187e42967475b637a9c41

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:bb5c62fd2d500b33c99e27f2d07efa3fb0aa556519db43cc855b09cf49821816

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:fa3fdd9d8f18677960ab66f160d02fb55c12b8c6ec561d95e752fd3d3ef4e176

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=sha256:23fce6324fc76c8f26ca06d51006c8f81831704b57a4c4eb7e1700f22097b738

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=sha256:44806ca168a7d9f611834834639b46ff86fbf2955fd595b680cd818f9a9f376a

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=sha256:993cab2065190323a897fe65c0ea9422cde4cb0e206208e52f80dd1ea2861253

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=sha256:2c5b33143c043c8f0485942195a093b320d111c0803c7ad22de24e8727e23972

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:a3f3fd8b62e3ed3fc4fecf56119ccff44382a02c8003f0b43b871ade1f15b9d7

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=sha256:9c906fb549e8ec2e3c3b86ffa9e3b1613b351b407feaf37098e2075ce99dd120

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=sha256:1c5ad85d0d299a9ec983f4af57ff48bd065d407e1c6626228a95a752dc67c989

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:cf533e1b9d323cd0f9cbf1a863e9b684b3475ea9377aff39d6d166e5cbd32c18

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=sha256:5dc0820fcf032b4b9be4491ec0c617ba16aab34d25df8d91b46f2b2240db2128

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=sha256:2f60d288061a44b206404283f08dccdae722c17dd33e65db4e6bd8d3b358fbc6

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:e548e982717aa8e687319be2dc69dd9a2112e1627f7cd37191a534cb74413668

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:ce90368fa1372d36aecbb75548e571ad941e8122f28dca4ef3cd388e9f22ea31

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=sha256:16df5642f1f009ca7692547938e09b5b35a10155f75f7e92f19f9d6b63326680

Pith citing papers

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