Semantic Communication
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Benchmarks
Europarl
Most implemented
Deep Image Semantic Communication Model for Artificial Intelligent Internet of Things
The Verification Gap in Networked Physical AI: A Post-Semantic Communication Framework
Adaptive Semantic Token Communication for Transformer-based Edge Inference
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
SpikACom: A Neuromorphic Computing Framework for Green Communications
Papers
Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse
Existing knowledge-base-assisted semantic communication schemes commonly adopt either single knowledge-base quantization (SKBQ) or multi-knowledge-base residual quantization (MKBQ). SKBQ incurs limited storage overhead b…
Semantic CommunicationFrom State Synchronization to Cognitive Self-Evolution: An Operational Architecture for Cognitive Digital Twins
As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities i…
Semantic CommunicationKnowledge GraphsAir-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps
Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and an unmanned ground vehicle (UGV) with a local first-person view, yet the setting rema…
Semantic CommunicationAda-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation
Token Communications (TokenCom) has recently emerged as a new paradigm in which tokens serve as unified units for communication and computation, enabling efficient multimodal semantic and goal-oriented transmission. In t…
Semantic CommunicationGAN-Based Semantic Communication for Image Transmission in IoV
For cooperative perception in the internet of vehicles, this paper proposes a generative adversarial network-based semantic communication framework to address the efficiency and fidelity bottlenecks of traditional commun…
Semantic CommunicationSemantic SegmentationImage ReconstructionKnowledge Distillation Driven Semantic NOMA with GAN Refinement for 6G Robotic Vehicle Networks
To achieve sustainable intelligent mobility, 6G-empowered robotic vehicles (RVs) require high-fidelity visual perception under stringent bandwidth and energy constraints. Semantic communication offers a spectral-efficien…
Knowledge DistillationSemantic Communication