Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:46:15.991923Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:46:15.991923Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 228 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1405f601-e211-41ce-9484-9e15cc8cc19d · outbound
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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Unavailable: canonical work link unavailable.
Observation 93b77fa5-fee9-4b45-a37f-ad5c79089679 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 141801ec-026a-406a-97fe-d78bb270ed8f · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation f8880bdd-ab1f-4752-bede-5b5ddcabe830 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation c86eaab6-3941-481b-ae86-f832f107e3d5 · outbound
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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Unavailable: canonical work link unavailable.
Observation 791382b9-6514-4197-841d-3848b2bfabd5 · outbound
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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Unavailable: canonical work link unavailable.
Observation 546b8445-7fd2-4cf1-bb3f-bc84d2139df3 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 80030922-cd26-47b3-881b-b3c798e197ce · outbound
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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Unavailable: canonical work link unavailable.
Observation 7888ce32-8e35-4c17-a24d-87a13e7e9561 · outbound
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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Unavailable: canonical work link unavailable.
Observation 10478c31-b580-4eaa-a091-5d320035f793 · outbound
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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Unavailable: canonical work link unavailable.
Observation fe19ff23-5945-47ec-be88-2c65ef81fdb9 · outbound
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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Unavailable: canonical work link unavailable.
Observation 6dc4119e-0a9a-4093-aef0-f1e6e9423a33 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Task-Oriented Explainable Semantic Communications,
Reference 17
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Unavailable: canonical work link unavailable.
Observation a004b408-eddd-4da4-af56-1e982fac47e8 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Vector Quantized Semantic Communication System,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 371c60d7-1764-44f7-800e-e49fd6dabcc8 · outbound
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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Unavailable: canonical work link unavailable.
Observation e294b033-2d37-42b2-9986-29b2ae8275a7 · outbound
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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Unavailable: canonical work link unavailable.
Observation 7bc6b3b3-4f68-4c2a-9734-5c27a71f6909 · outbound
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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Unavailable: canonical work link unavailable.
Observation 20774055-b8ae-444e-b2d4-89bc9e12763d · outbound
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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Unavailable: canonical work link unavailable.
Observation 8c0ed3f2-55e1-48fb-93a4-6405ca46351b · outbound
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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Unavailable: canonical work link unavailable.
Observation 66764948-ead6-4b9c-b33a-48b7747d8a5e · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep learning enabled semantic communication systems,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f65cb3bb-9756-4320-82a9-dda2eb5ea820 · outbound
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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Unavailable: canonical work link unavailable.
Observation f8edba64-f832-4495-a3a7-cdd273296197 · outbound
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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Unavailable: canonical work link unavailable.
Observation c75bd33f-604b-4713-a35f-39299dc0b195 · outbound
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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Unavailable: canonical work link unavailable.
Observation a7bc66b2-cd74-4626-aeb2-b2155affcabf · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Unresolved cited work
Reference 28
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Unavailable: canonical work link unavailable.
Observation 7c880595-17a7-4db1-ab38-a71656181aaf · outbound
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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Unavailable: canonical work link unavailable.
Observation 1e79cede-5b6d-45c2-b148-0f2f25708713 · outbound
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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Unavailable: canonical work link unavailable.
Observation 274447be-342c-4881-b864-4fb9d7175bdb · outbound
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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Unavailable: canonical work link unavailable.
Observation 795c50c5-f4e7-4157-b088-e2503c3fcbd2 · outbound
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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Unavailable: canonical work link unavailable.
Observation 2d19116c-460f-40f2-ad68-68eebd4622f9 · outbound
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
Reference 34
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Unavailable: canonical work link unavailable.
Observation b029eb3b-6b0f-4401-bd1e-23d4b8c6e257 · outbound
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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Unavailable: canonical work link unavailable.
Observation 332054ef-627b-47f3-8f39-fb5b1a3784b2 · outbound
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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Unavailable: canonical work link unavailable.
Observation fa21079a-232e-45d5-a7b7-3e26cb1607ca · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Resource Management, Security, and Privacy Issues in Semantic Communications: A Survey,
Reference 37
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Observation cabf3387-3a05-4cae-a4e2-2f9420204d05 · outbound
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
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Semantic Communication Networks: Architecture, Security, and Privacy,
Reference 39
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Unavailable: canonical work link unavailable.
Observation e38eb45c-f405-4b6c-813e-e9ae5b1b4b86 · outbound
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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Unavailable: canonical work link unavailable.
Observation 2a8e80f9-a436-4896-b80f-6fe889de75f1 · outbound
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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Unavailable: canonical work link unavailable.
Observation 4bc06756-f589-4502-aec0-363cc7138c7e · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications An Equivalence of Fully Connected Layer and Convolutional Layer
Reference 42
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Observation 7628a379-8116-4439-b79e-ffb23de809bc · outbound
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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Unavailable: canonical work link unavailable.
Observation 13308ddd-09f9-4d2b-9806-4b454e777a32 · outbound
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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Unavailable: canonical work link unavailable.
Observation e81b57fd-dbb4-4d63-aac2-e3e624bc3c60 · outbound
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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Unavailable: canonical work link unavailable.
Observation 2c4aaef2-fe46-4b8a-b8b1-7135d53041ee · outbound
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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Unavailable: canonical work link unavailable.
Observation c18f5dbe-b27a-4312-aabb-a261e586c414 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Understanding Convolution for Semantic Segmentation,
Reference 47
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Unavailable: canonical work link unavailable.
Observation 9a6c4564-3c04-40c0-8175-91e23369ac1e · outbound
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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Unavailable: canonical work link unavailable.
Observation a609a81f-097d-4f37-9afc-1926ab0ab095 · outbound
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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Unavailable: canonical work link unavailable.
Observation 54713d90-4160-44ee-b041-b0ae864406f9 · outbound
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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Unavailable: canonical work link unavailable.
Observation 6eb2bb9f-c5de-4fd5-8c98-dd89ede8abd2 · outbound
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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Unavailable: canonical work link unavailable.
Observation 115dd6ba-b1c6-4c5e-971b-07c35a184351 · outbound
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
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
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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Observation 026ad2ae-1b86-48aa-b721-456b3fbd4e03 · outbound
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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Unavailable: canonical work link unavailable.
Observation 276ea92b-f8b6-4c72-8221-523c2114cf13 · outbound
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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Unavailable: canonical work link unavailable.
Observation 4d42aefb-2741-4dc3-9e27-7ef223a2924a · outbound
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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Observation 9a068889-3917-404e-87b9-b1d558f7ec05 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Layer Normalization
Reference 58
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Observation 68d39823-c359-4893-a3ea-b548dec7b32f · outbound
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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Observation 6f10dd56-efd1-441c-9827-0fc0b7972947 · outbound
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
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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Observation 7f7f989d-8918-480a-b25d-ab5df2fa4b4d · outbound
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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Observation ca96177e-1a62-4fa6-9e89-6fc6dce9b2d7 · outbound
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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Observation 0ee64bb0-ea06-4b38-b00a-7fb7213e9e99 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications U-Net: Convolutional Networks for Biomedical Image Segmentation,
Reference 64
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Observation 06264f6a-a715-47a3-bff2-8e74310031e3 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications: Principles and Challenges
Reference 65
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Observation 69ae2457-a62d-4ac6-8949-b015347e4a3c · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Knowledge-Assisted Privacy Preserving in Semantic Communication,
Reference 66
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Unavailable: canonical work link unavailable.
Observation 48100746-3bde-4428-a929-b47725a459aa · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic Communications with Computer Vision Sensing for Edge Video Trans- mission,
Reference 67
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Observation ce50699c-21a0-4503-9dd6-312106d1e6a4 · outbound
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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Observation c7287647-60f6-4df1-bccc-59443fd705ce · outbound
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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Observation ba9860ea-83ca-4fea-96d3-11ea5cf3345b · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Lite Distributed Semantic Communication System for Internet of Things,
Reference 70
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Observation 1126b77c-bf80-4a83-a73e-4fe34ef3b484 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Deep Joint Source-Channel Coding for Semantic Communications,
Reference 71
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Observation 17eec0a4-0ecb-458b-aed5-a1441a5dbb98 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Innovative semantic communication system
Reference 72
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Observation 413cfcf4-3b61-4c54-9ba9-712c356005a8 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Joint Source-Channel Cod- ing for Channel-Adaptive Digital Semantic Communications,
Reference 73
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Observation a3ef52b2-b958-4f7f-be8d-20a972b73031 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Channel Coding Towards 6G: Technical Overview and Outlook,
Reference 74
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Observation 5421f6b8-d117-421b-bf62-5329102aa4c4 · outbound
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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Observation ae99972b-3113-4cd2-bfaa-d2b93d6b725b · outbound
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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Observation 9d40d212-79ec-431c-a98c-a2545a89dbe8 · outbound
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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Observation 32b4dc36-6816-4140-9172-bf4d176f1d30 · outbound
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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Observation 5a9e8c7b-db87-444d-880e-e6b3794efbce · outbound
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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Observation 60b2d84f-2a9a-416e-8ce8-d485f10dd6cb · outbound
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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Observation 8458b413-d762-4524-a425-0a6d797757ce · outbound
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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Observation 845c0f80-0cac-42d7-8424-074d72d56f38 · outbound
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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Observation dce11514-6253-40d6-a808-18b0daf7fbd3 · outbound
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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Observation 976e9001-372a-4fd0-8d8f-1d63186aeb88 · outbound
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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Observation 3564d8d7-a224-45a2-8b91-94e1492f82b7 · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Transformers in Vision: A Survey,
Reference 85
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Observation aa91109d-ed87-4a97-99c3-fd895041f509 · outbound
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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Observation 06ffe0d2-8068-448f-9693-86e60eca09ed · outbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications A Survey on Vision Transformer,
Reference 87
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Observation 74d62a7e-a4ee-431a-8332-b02465e2528f · outbound
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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Observation a78330c6-8c21-4bbd-967d-f7cc685ce06c · outbound
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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Observation 53e0d98c-8fa6-4d91-8d88-b12f96d7791c · outbound
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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Observation b59eef38-eaf9-4f61-bad7-9d2b6a283720 · outbound
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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Observation eee7fd68-15cb-464b-91aa-6c0a5d9a907f · outbound
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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Observation 5f2250bd-b081-4394-9659-d9baf6a7bd63 · outbound
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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Observation fab242d1-0c57-469e-a4cf-2090d1354ad1 · outbound
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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Observation d58130fd-1c30-45d7-a409-9bb8a66f1ed7 · outbound
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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Observation 0dd3922e-7daa-4bb2-b6d6-bf43e6100340 · outbound
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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Observation 34b1e154-c692-4db3-9003-8150b024d4eb · outbound
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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Observation 210506fb-ecfa-424e-814f-8d7a5713f546 · outbound
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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Observation 54b17915-5565-4f6c-ba62-7c248962b220 · outbound
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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Observation f9bc1d13-afd9-4244-95be-c4bf8190a268 · outbound
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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No inbound Pith citation observations are available.