Papers Semantic Compression
“Semantic Compression” 태그가 달린 논문 60편 · 필터 해제
Collaborative Automatic Modulation Classification via Deep Edge Inference for Hierarchical Cognitive Radio Networks
In hierarchical cognitive radio networks, edge or cloud servers utilize the data collected by edge devices for modulation classification, which, however, is faced with problems of the transmission overhead, data privacy,…
Semantic CompressionCompressed learning based onboard semantic compression for remote sensing platforms
Earth observation (EO) plays a crucial role in creating and sustaining a resilient and prosperous society that has far reaching consequences for all life and the planet itself. Remote sensing platforms like satellites, a…
Earth Observationimage-classificationImage ClassificationImage Compression+2Semantic Communication based on Large Language Model for Underwater Image Transmission
Underwater communication is essential for environmental monitoring, marine biology research, and underwater exploration. Traditional underwater communication faces limitations like low bandwidth, high latency, and suscep…
Image ReconstructionLanguage ModelingLanguage ModellingLarge Language Model+2Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
In hierarchical cognitive radio networks, edge or cloud servers utilize the data collected by edge devices for modulation classification, which, however, is faced with problems of the computation load, transmission overh…
ClassificationData CompressionSemantic CompressionAddressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) model is applied to unseen tasks that are …
Bayesian OptimizationImage ReconstructionSemantic CommunicationSemantic CompressionSMC++: Masked Learning of Unsupervised Video Semantic Compression
Most video compression methods focus on human visual perception, neglecting semantic preservation. This leads to severe semantic loss during the compression, hampering downstream video analysis tasks. In this paper, we p…
Image CompressionSemantic CommunicationSemantic CompressionVideo CompressionA Mathematical Theory for Learning Semantic Languages by Abstract Learners
Recent advances in Large Language Models (LLMs) have demonstrated the emergence of capabilities (learned skills) when the number of system parameters and the size of training data surpass certain thresholds. The exact me…
Semantic CommunicationSemantic CompressionAgent-driven Generative Semantic Communication with Cross-Modality and Prediction
In the era of 6G, with compelling visions of intelligent transportation systems and digital twins, remote surveillance is poised to become a ubiquitous practice. Substantial data volume and frequent updates present chall…
DecoderSemantic CommunicationSemantic CompressionLarge Generative Model Assisted 3D Semantic Communication
Semantic Communication (SC) is a novel paradigm for data transmission in 6G. However, there are several challenges posed when performing SC in 3D scenarios: 1) 3D semantic extraction; 2) Latent semantic redundancy; and 3…
Generative Adversarial NetworkmodelNeRFSemantic Communication+1MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic. However, existing compression algorithms must sacrifice either consistency with the grou…
DecoderImage CompressionSemantic CompressionExploring the Limits of Semantic Image Compression at Micro-bits per Pixel
Traditional methods, such as JPEG, perform image compression by operating on structural information, such as pixel values or frequency content. These methods are effective to bitrates around one bit per pixel (bpp) and h…
Image CompressionSemantic CompressionKnowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the finite computation, energy and communicatio…
Objectobject-detectionObject DetectionSemantic Communication+1Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and computation resource availability, we propose…
Decision MakingDecoderEdge-computingFeature Compression+1Extending Context Window of Large Language Models via Semantic Compression
Transformer-based Large Language Models (LLMs) often impose limitations on the length of the text input to ensure the generation of fluent and relevant responses. This constraint restricts their applicability in scenario…
Few-Shot LearningInformation RetrievalQuestion AnsweringRetrieval+2An Incremental Unified Framework for Small Defect Inspection
Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing. Yet, many methods, tailored to specific pipelines, grapple with diverse product portfolios and evolving processes. Addressing …
Anomaly Detectioncontinual anomaly detectionIncremental LearningSemantic CompressionTCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
Since ChatGPT released its API for public use, the number of applications built on top of commercial large language models (LLMs) increase exponentially. One popular usage of such models is leveraging its in-context lear…
Food recommendationIn-Context LearningLanguage ModelingLanguage Modelling+3Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning
Remote medical diagnosis has emerged as a critical and indispensable technique in practical medical systems, where medical data are required to be efficiently compressed and transmitted for diagnosis by either profession…
Coronary Artery SegmentationImage CompressionMedical DiagnosisSemantic Compression+1Unsupervised Lead Sheet Generation via Semantic Compression
Lead sheets have become commonplace in generative music research, being used as an initial compressed representation for downstream tasks like multitrack music generation and automatic arrangement. Despite this, research…
Music CompressionMusic GenerationSemantic CompressionDistortion Resilience for Goal-Oriented Semantic Communication
Recent research efforts on Semantic Communication (SemCom) have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems. However, these approaches introduce a paradox: the accuracy…
Semantic CommunicationSemantic CompressionSemantic Text Compression for Classification
We study semantic compression for text where meanings contained in the text are conveyed to a source decoder, e.g., for classification. The main motivator to move to such an approach of recovering the meaning without req…
ClassificationDecoderQuantizationSemantic Compression+5